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A new report today offers a claimed look at Apple’s 2023 iMac plans, namely to prioritize quality over quantity when it comes to the display. The report says that Apple is sticking to 27 inches for next year’s iMac, but will offer the same display tech used in the just-launched MacBook Pro models.
This contradicts expectations of a 32-inch iMac, which would seem the obvious next step for a couple of reasons …
First, the fact that a 27-inch display looks pretty cramped by today’s standards. I mean, it was a huge display when the first 27-inch iMac was introduced way back in 2009, but in 2023 it looks rather miserly. Indeed, 27-inch monitors are very commonly used in dual and triple monitor setups, rather than on their own.
I’ve admittedly gone to something of an extreme with my 49-inch monitor, but that’s effectively just a dual 27-inch setup without the distraction of center bezels.
Second, Apple chose 32 inches for its Pro Display XDR. It would have seemed logical to create the next-generation of iMacs to match this.
Today’s report says not.
This morning, display analyst Ross Young tweeted that he expects Apple to launch a 27-inch iMac in the first quarter of 2023, featuring a mini-LED 120Hz display, just like the displays seen in the MacBook Pros unveiled this week.
Rather than increase the screen size, says Ross, Apple will instead focus on a significant boost to the quality of the display – bringing the same features as seen in the 14- and 16-inch MacBook Pro models.
That certainly has to be considered a plausible claim. As we noted, the source has a good track record in this field.
Ross Young has a very reliable track record when it comes to predicting Apple’s supply chain commitments for display components. In fact, he was essentially the only person suggesting that the new MacBook Pros would feature 120Hz high refresh rate ahead of the Unleashed event, and he of course turned out to be correct.
It would also make sense for Apple to introduce the latest display tech first to the smaller displays of MacBook Pro models, and later to the larger iMac ones.
At the same time, though, there’s something odd about the idea. Although some pro users like the form factor of the iMac, and would want the new display tech, they are also going to want the M1 Pro and M1 Max chips. Effectively a larger-screened, desktop version of the MacBook Pro.
So is this new model an iMac Pro? Maybe, but does it make sense to have a 27-inch pro Mac alongside a 32-inch pro monitor?
On the other hand, if it’s a consumer machine, does it make sense to have both a 24-inch and 27-inch consumer iMac? One can argue that 14 inches and 16 inches are also close in size, but small differences in dimensions and weight can be important when it comes to a laptop. For a desktop, such a small difference would seem odd.
Apple could have an M1-powered 24-inch iMac and an M1 Pro/Max iMac Pro, but then the company just separated screen size and performance in the MacBook Pro: You can spec out the 14-inch model with the exact same options and maxima as the 16-inch one.
Or is Young right about the display specs but wrong about the intended product? Is this actually for a 27-inch monitor to finally replace the discontinued Apple Thunderbolt Display? This was in fact Young’s original guess before he changed his mind.
Right now, I have more questions than answers.
If I had to bet, I’m going to go with it being an iMac Pro. Yes, it’s odd to have a 27-inch pro iMac and a 32-inch pro monitor, but perhaps the market for the Pro Display XDR is so tiny that it’s effectively irrelevant in this context. So Apple launches a new iMac Pro with M1 Pro and M1 Max options, together with the latest pro display tech.
27 inches does still feel small, but I know some pros like to have an all-in-one setup with a decent-size screen that is still transportable for on-site use, so perhaps that’s a decent chunk of the market.
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Here are Machine Learning interview questions and answers for fresher as well as experienced candidates to get their dream job.1) What is Machine learning?
Machine learning is a branch of computer science which deals with system programming in order to automatically learn and improve with experience. For example: Robots are programed so that they can perform the task based on data they gather from sensors. It automatically learns programs from data.2) Mention the difference between Data Mining and Machine learning?
Machine learning relates with the study, design and development of the algorithms that give computers the capability to learn without being explicitly programmed. While, data mining can be defined as the process in which the unstructured data tries to extract knowledge or unknown interesting patterns. During this process machine, learning algorithms are used.
3) What is ‘Overfitting’ in Machine learning?
In machine learning, when a statistical model describes random error or noise instead of underlying relationship ‘overfitting’ occurs. When a model is excessively complex, overfitting is normally observed, because of having too many parameters with respect to the number of training data types. The model exhibits poor performance which has been overfit.4) Why overfitting happens?
The possibility of overfitting exists as the criteria used for training the model is not the same as the criteria used to judge the efficacy of a model.
5) How can you avoid overfitting?
By using a lot of data overfitting can be avoided, overfitting happens relatively as you have a small dataset, and you try to learn from it. But if you have a small database and you are forced to come with a model based on that. In such situation, you can use a technique known as cross validation. In this method the dataset splits into two section, testing and training datasets, the testing dataset will only test the model while, in training dataset, the datapoints will come up with the model.
In this technique, a model is usually given a dataset of a known data on which training (training data set) is run and a dataset of unknown data against which the model is tested. The idea of cross validation is to define a dataset to “test” the model in the training phase.6) What is inductive machine learning?
The inductive machine learning involves the process of learning by examples, where a system, from a set of observed instances tries to induce a general rule.7) What are the five popular algorithms of Machine Learning?
Neural Networks (back propagation)
Support vector machines8) What are the different Algorithm techniques in Machine Learning?
The different types of techniques in Machine Learning are
Learning to Learn9) What are the three stages to build the hypotheses or model in machine learning?
Applying the model10) What is the standard approach to supervised learning?
The standard approach to supervised learning is to split the set of example into the training set and the test.11) What is ‘Training set’ and ‘Test set’?
In various areas of information science like machine learning, a set of data is used to discover the potentially predictive relationship known as ‘Training Set’. Training set is an examples given to the learner, while Test set is used to test the accuracy of the hypotheses generated by the learner, and it is the set of example held back from the learner. Training set are distinct from Test set.12) List down various approaches for machine learning?
The different approaches in Machine Learning are
Concept Vs Classification Learning
Symbolic Vs Statistical Learning
Inductive Vs Analytical Learning13) What is not Machine Learning?
Rule based inference14) Explain what is the function of ‘Unsupervised Learning’?
Find clusters of the data
Find low-dimensional representations of the data
Find interesting directions in data
Interesting coordinates and correlations
Find novel observations/ database cleaning15) Explain what is the function of ‘Supervised Learning’?
Predict time series
Annotate strings16) What is algorithm independent machine learning?
Machine learning in where mathematical foundations is independent of any particular classifier or learning algorithm is referred as algorithm independent machine learning?17) What is the difference between artificial learning and machine learning?
Designing and developing algorithms according to the behaviours based on empirical data are known as Machine Learning. While artificial intelligence in addition to machine learning, it also covers other aspects like knowledge representation, natural language processing, planning, robotics etc.18) What is classifier in machine learning?
A classifier in a Machine Learning is a system that inputs a vector of discrete or continuous feature values and outputs a single discrete value, the class.20) In what areas Pattern Recognition is used?
Pattern Recognition can be used in
Bio-Informatics21) What is Genetic Programming?
Genetic programming is one of the two techniques used in machine learning. The model is based on the testing and selecting the best choice among a set of results.22) What is Inductive Logic Programming in Machine Learning?
Inductive Logic Programming (ILP) is a subfield of machine learning which uses logical programming representing background knowledge and examples.23) What is Model Selection in Machine Learning?
The process of selecting models among different mathematical models, which are used to describe the same data set is known as Model Selection. Model selection is applied to the fields of statistics, machine learning and data mining.24) What are the two methods used for the calibration in Supervised Learning?
The two methods used for predicting good probabilities in Supervised Learning are
These methods are designed for binary classification, and it is not trivial.25) Which method is frequently used to prevent overfitting?
When there is sufficient data ‘Isotonic Regression’ is used to prevent an overfitting issue.26) What is the difference between heuristic for rule learning and heuristics for decision trees?
The difference is that the heuristics for decision trees evaluate the average quality of a number of disjointed sets while rule learners only evaluate the quality of the set of instances that is covered with the candidate rule.27) What is Perceptron in Machine Learning?
In Machine Learning, Perceptron is a supervised learning algorithm for binary classifiers where a binary classifier is a deciding function of whether an input represents a vector or a number.28) Explain the two components of Bayesian logic program?
Bayesian logic program consists of two components. The first component is a logical one ; it consists of a set of Bayesian Clauses, which captures the qualitative structure of the domain. The second component is a quantitative one, it encodes the quantitative information about the domain.29) What are Bayesian Networks (BN)?
Bayesian Network is used to represent the graphical model for probability relationship among a set of variables.30) Why instance based learning algorithm sometimes referred as Lazy learning algorithm?
Instance based learning algorithm is also referred as Lazy learning algorithm as they delay the induction or generalization process until classification is performed.31) What are the two classification methods that SVM ( Support Vector Machine) can handle?
Combining binary classifiers
Modifying binary to incorporate multiclass learning32) What is ensemble learning?
To solve a particular computational program, multiple models such as classifiers or experts are strategically generated and combined. This process is known as ensemble learning.33) Why ensemble learning is used?
Ensemble learning is used to improve the classification, prediction, function approximation etc of a model.34) When to use ensemble learning? 35) What are the two paradigms of ensemble methods?
The two paradigms of ensemble methods are
Sequential ensemble methods
Parallel ensemble methods36) What is the general principle of an ensemble method and what is bagging and boosting in ensemble method?
The general principle of an ensemble method is to combine the predictions of several models built with a given learning algorithm in order to improve robustness over a single model. Bagging is a method in ensemble for improving unstable estimation or classification schemes. While boosting method are used sequentially to reduce the bias of the combined model. Boosting and Bagging both can reduce errors by reducing the variance term.37) What is bias-variance decomposition of classification error in ensemble method?
The expected error of a learning algorithm can be decomposed into bias and variance. A bias term measures how closely the average classifier produced by the learning algorithm matches the target function. The variance term measures how much the learning algorithm’s prediction fluctuates for different training sets.38) What is an Incremental Learning algorithm in ensemble?
Incremental learning method is the ability of an algorithm to learn from new data that may be available after classifier has already been generated from already available dataset.39) What is PCA, KPCA and ICA used for?
PCA (Principal Components Analysis), KPCA ( Kernel based Principal Component Analysis) and ICA ( Independent Component Analysis) are important feature extraction techniques used for dimensionality reduction.40) What is dimension reduction in Machine Learning?
In Machine Learning and statistics, dimension reduction is the process of reducing the number of random variables under considerations and can be divided into feature selection and feature extraction.41) What are support vector machines?
Support vector machines are supervised learning algorithms used for classification and regression analysis.42) What are the components of relational evaluation techniques?
The important components of relational evaluation techniques are
Ground Truth Acquisition
Cross Validation Technique
Significance Test43) What are the different methods for Sequential Supervised Learning?
The different methods to solve Sequential Supervised Learning problems are
Recurrent sliding windows
Hidden Markow models
Maximum entropy Markow models
Conditional random fields
Graph transformer networks44) What are the areas in robotics and information processing where sequential prediction problem arises?
The areas in robotics and information processing where sequential prediction problem arises are
Model based reinforcement learning45) What is batch statistical learning?
Statistical learning techniques allow learning a function or predictor from a set of observed data that can make predictions about unseen or future data. These techniques provide guarantees on the performance of the learned predictor on the future unseen data based on a statistical assumption on the data generating process.46) What is PAC Learning?
PAC (Probably Approximately Correct) learning is a learning framework that has been introduced to analyze learning algorithms and their statistical efficiency.47) What are the different categories you can categorized the sequence learning process?
Sequential decision48) What is sequence learning?
Sequence learning is a method of teaching and learning in a logical manner.49) What are two techniques of Machine Learning?
The two techniques of Machine Learning are
Inductive Learning50) Give a popular application of machine learning that you see on day to day basis?
The recommendation engine implemented by major ecommerce websites uses Machine Learning.
These interview questions will also help in your viva(orals)
Here are SDLC interview questions and answers for fresher as well as experienced candidates to get their dream job.
SDLC is an abbreviation of Software Development Life Cycle. SDLC is series of steps that offers a defined model for the development and lifecycle management of an application.2) Name five Models used in SDLC
Rapid Application Development(RAD) model
Spiral model3) Explain Phases of the waterfall model
Following are the different Waterfall Model phases:
Implementation & Maintenance4) States the importance of Design phase?
5) What are the tasks performed in Coding phase?
In the coding phase, the design document is converted into an executable programming language. The output of the coding stage is the source code which can act as input for testing and maintenance phase.6) What is feasibility study?
Feasibility allows assessing how viable software project development will be for any organization. The software analyst does the complete study to understand the operational, economic, and technical feasibility of any project.7) What are the Maturity levels in CMM?
Capability Maturity Model is a benchmark for analyzing the maturity of an organization’s software development process. It is a technique which is used to refine a company’s software development process. It is using to assess any company against a scale of five different levels of levels based on their Key Process Areas. It tells about the maturity of the company based on the project the company is dealing with and the clients.
Initial, Managed, Defined, Quantitatively Managed and Optimizing are five levels which determine CMM levels of any company.8) Give some benefits of using V model?
Simple and easy to use.
Each phase has specific
V model is more successful because of the early development of test plans. This reduces the cost of bug fixes
Works most effective with small projects where requirements are small9) What is the ‘scope’ of a project?
The scope of the project is nothing but, the goals, objectives, and expectations of the project. Software scope is a well-defined boundary, which includes all the process which are performed to develop and deliver the software product. The software scope consists of all functionalities and artifacts to be delivered to the software system. The software scope also helps to identifies what the system will do and what it will not do.10) According to you, when should users be trained on a new system?
During the implementation phase11) Name the phase where the performance of the new system monitored? 12) What is a computer-based information system?
It is a system in which computers perform some procedures.13) Explain Low Level Or Detailed Design concerning SDLC
In Low-Level Design, High-Level Design is broken down into modules and programs. Logic design is developed for every program, and it will be documented as program specifications.14) What is the use of JAD session?
JAD (Joint Application Design) session is used to gain data and information about the system15) State the Difference Between SDLC And Stlc
SDLC involves the complete Verification and Validation of a Project. SDLC stage requires business requirement analysis, design, Development Process, Testing Process, and Maintenance.
Whereas STLC involves only Validation.16) Who are the people involved in the phases of Waterfall Model
The people involved in the waterfall model depend upon the structure of the organization. Here, are professionals who are generally involved
Technical Manager or Senior Developers
Technical Lead or System Architect in Design Phase
Developers in Coding phase.
Testers in Testing Phase.
Project Manager, and Maintenance Team in the Maintenance phase17) What is level-0 DFD?
Highest abstraction level is called Level 0 DFD (Data Flow Diagram). It is also is known as context level DFD. It gives specifications about the entire information system as one diagram which has all the details about the system.18) Explain the team Requirement Gathering concerning SDLC
Requirement Gathering is an important SDLC phase. In this stage business requirements are gathered. The schedule and cost of the project also analyse in this phase.19) Briefly explain Testing Phase
Different testing methodologies are practiced detecting the software bugs, which happen to take birth during the previous phases. Today, there are many types o testing tools, and methodologies are available. Few firs are also building their testing tools, which are custom made as per the need or their organizations.20) What are problems faced in the waterfall model?
Some of the common problems face in waterfall model are
Waterfall model is not ideal for complex projects where requirements are not clear
It needs lots of time to complete every stage
There are certain bugs which never rectified in this model21) What is the details study of the existing system is called?
The detailed study of the existing system is called System analysis22) What is the main aim of prototyping aim?
Prototyping offers mini-model of the proposed system23) In which step of SDLC project early termination could be done?
In the SDLC process, project termination can be performed in the feasibility study phase.24) According to you which is most creative and challenging phase of system life cycle?
The design is one of the most challenging phases of the SDLC lifecycle.25) Name the type of feasibility where the cost saving and additional profits will exceed the investment required.
It is known as Economic Feasibility26) Can bug fixes also include software maintenance?
Yes, bug fixes stage also includes software maintenance27) Cost of error correction is least in which stage of SDCL life cycle?
Cost of error correction is very less at the early stage of requirement analysis.
These interview questions will also help in your viva(orals)
blog / Technology Top Cloud Engineer Interview Questions and Answers in 2023
With cloud computing becoming an integral part of the digital world, cloud engineer careers are in more demand than ever before. There are currently 145,000+ job openings for cloud engineers in the U.S. with the national average remuneration standing at $113,260 per year. Hence, knowing how to answer the most frequently asked cloud engineer interview questions will improve the odds of succeeding in an interview for the role.
In this article, we have compiled a list of the most widely encountered interview questions for cloud engineers along with some sample responses to help professionals prepare.Basic Cloud Engineer Interview Questions 1. What is Cloud? List Some Different Versions of Cloud.
The term ‘cloud’ refers to a collaboration between networks, hardware, services, storage, and interfaces utilized for provident commuting as a service. It includes three users—end users, cloud service providers, and business management users.
The various cloud versions are ulti-cloud, public cloud, private cloud, and hybrid cloud.2. What is the Meaning of Function as Service?
Function as a Service (FaaS) provides users a platform where they can develop, administer, and run their cloud applications without having to worry about infrastructure maintenance.3. What are the Main Components of the Cloud Ecosystem?
The following are the main components of the cloud ecosystem that define how you view cloud architecture: cloud consumers, direct customers, and cloud service providers.
ALSO READ: How to Become a Cloud Engineer: The Ultimate Career GuideIntermediate Cloud Engineer Interview Questions
Following some knowledge of the basics, let us move on to the intermediate-level cloud engineer interview questions.1. What is the Meaning of AMI and How is it Implemented?
Amazon machine image or AMI is a replication of the root file system. It offers the details necessary for launching an instance. From a single AMI, multiple instances can share the same configuration.
When it comes to launching instances with various specifications, it is necessary to launch various AMIs as well. In the case of instance-store-backed AMIs, it comprises one or more EBS volume snapshots and a template for the instance’s root volume.
The permissions it launches decides which one of the Amazon Web Services (AWS) accounts can use the AMI for launching instances. Additionally, AMIs need block device mapping for defining the volumes in the correct sequence and connecting them to the instances when they are launched.2. What are Serverless Components in Cloud Computing?
Serverless components in cloud computing make it possible to develop applications without having to deal with the hassle of managing the infrastructure. As a result, the user is able to write code without logging into the server.
Virtual machines and container management are handled by serverless machines. These parts also control other aspects, such as multithreading and hardware allocation.3. Sample Cloud Engineer Interview Questions for Mid-Level Executives
What is the full form of EUCALYPTUS and what does it do in cloud computing?
How do the cloud and conventional data centers differ?
What is edge computing?
What are the various implementations of the cloud computing data center?
What are the benefits and drawbacks of serverless computing?
What are some of the cloud-enabling technologies?
Why microservices are essential for a true cloud system
What is the cloud usage monitor?
What functions do APIs provide in cloud services?
What are the key cloud computing metrics?What are the Advanced Cloud Engineer Interview Questions? 1. Describe the Cloud Computing Architecture.
Cloud computing architecture includes the parts of a cloud model that fit together from an architectural standpoint. The model comprises the cloud consumer, cloud provider, and the cloud auditor.
The cloud service consumer is a representation of the various types of uses of cloud services. Regardless of what the requirements are of a particular constituent, it is crucial to combine the appropriate services that can assist both internal and external users.
Cloud providers should be able to make services easily available in order to accommodate changing company needs This includes the on-premises computing model-based services, infrastructure, middleware, and applications.
Cloud auditors offer oversight by an internal or external group which ensures that the consumer group meets its obligations.2. Who are the Cloud Service Providers in a Cloud Ecosystem?
Commercial vendors or businesses that develop their own cloud capabilities are known as cloud service providers. The commercial vendors sell their services to cloud consumers. Alternatively, a business may choose to offer internal cloud services to its own partners, workers, and clients as a service or as a profit center. For such environments, cloud service providers also create applications or services.3. What are Microservices?
Microservices is the process of developing applications using code that is independent of one another and from the underlying platform on which it is being developed. Once developed, each microservice runs a distinct process and interacts via clear, standardized APIs. These services are described as a catalog so that developers may quickly find the appropriate service and comprehend the governance guidelines for usage.4. Why are Microservices Important for a True Cloud Environment?
a. Each microservice is designed to fulfill a specific and limited purpose, and hence application development becomes simplified. Small development teams can then concentrate on creating the code for some of the precisely specified functions.
b. Code changes become smaller and less complex when compared to a complex integrated application. It will be simpler and quicker to make modifications, whether to patch a bug or upgrade a service to meet new requirements.
c. Scalability, which enables fast deployment of an additional instance of a service or changes that service as needs evolve.
d. Microservices undergo extensive testing and validation. Developers can assume the integrity of new apps without continuous testing when they make use of existing microservices.5. What is the Cloud Usage Monitor?
The cloud usage monitor is an autonomous lightweight software application that is responsible for gathering and processing the IT resource utilization data.
Cloud usage monitors may exist in various formats depending on the kind of usage metrics these are designed to gather and how the usage data needs to be collected.
The three typical agent-based implementation formats are: monitoring agent, resource agent, and polling agent.6. How Does the Monitoring Agent Monitor Cloud Usage?
A monitoring agent is a service agent that exists as an intermediate and an event-driven application that resides alongside the current communication channels. It examines and transparently monitors data flows. The monitoring agent is frequently used to gauge message metrics as well as network traffic.7. How Does the Polling Agent Monitor Cloud Usage?
A polling agent is a processing component that collects information about how cloud services are used by polling IT resources. The polling agent has also been used to promptly track the uptime and downtime of IT resources.8. Sample Cloud Engineer Interview Questions for Experienced Developers
What are cloud-native applications?
How does the resource agent monitor cloud usage?
What is an API gateway?
What does ‘containers as a service’ (CaaS) refer to?
What do you mean by encapsulation in cloud computing?
What do you mean by rate limiting in cloud computing?
What are the different data centers deployed for cloud computing?
What are containerized data centers?
What are low-density data centers?
How does resource replication take place in cloud computing?
ALSO READ: What a Good Cloud Engineer’s Salary Package Should be and WhyLearn Online from the Best
While gearing up for a cloud engineer interview, aspirants must remember that top organizations now look for engineers with experience in Linux, OpenStack, Amazon Web Services, Google Compute Engine, and Microsoft Azure. Additionally, having knowledge of DevOps, APIs, and NoSQL improves the chances of landing your dream job. Explore Emeritus’ wide range of online technology courses to become a full-stack developer and stay at the top of your field!
By Rupam Deb
Write to us at [email protected]
Two years since first launching in the US, Apple Pay is an option at lots of payment terminals all across the country, but you still can’t assume contactless payments like Apple Pay will be supported. It’s still necessary to carry your debit or credit card (or cash) just in case.
So we’ve looked at the biggest categories of businesses that still aren’t ready for contactless payments in the US and reached out to a few of the biggest holdouts to ask why they’re still resisting. We’ve also looked at some of the categories that people still want supported to see how things are progressing.
When Apple Pay launched in October 2014, there were about eight bank partners and 220,000 terminals ready in the US. Now Apple Pay is supported by hundreds of banks and in February over 2 million businesses were accepting contactless payments. Apple Pay has also expanded to 10 additional markets outside of the United States with more coming soon.
Two years ago, I could use Apple Pay at my local McDonalds, Walgreens, Subway, and a local drug store. Apple Pay was easier to use in large cities with more stores than small towns with a handful of businesses. Now I can use Apple Pay at plenty of local businesses thanks to the adoption of contactless payment terminals.
Now places where I regularly shop like Best Buy, Khols, Nike, American Eagle, Starbucks, Ulta for my wife, one of the two nearby movie theaters, Chick-Fil-A and plenty more officially support Apple Pay, so my usage has increased. Walgreens even lets you use their loyalty card with Apple Pay; the cashiers are usually grateful that they don’t have to scan yours or ask you to type in your phone number.
A local ice cream shop in my town that uses Square recently upgraded to the new contactless reader which enables Apple Pay support, and my local grocery store (a two store chain called Jerry Lees) knows about and accepts Apple Pay.
I wrote about the awkwardness of Apple Pay sometimes failing two years ago; when the cashier at my local grocery store actually suggested I pay with my watch that stigma was broken for me. Some people are still impressed which is fun, but for a lot of people it’s just the new normal which is even better.
I jokingly tweeted a few weeks ago that Apple Pay has officially gone mainstream when I noticed the place where I get my haircut taping a sign about not accepting Apple Pay on their terminal. Clearly enough people asked and expected to use Apple Pay that a sign was necessary.
Apple Pay is also available at almost all places with the contactless payment logo even if there isn’t specifically signage for Apple Pay. The EMV contactless symbol looks like four waves, a small square, a hand, and an oval. When you see this, it means you can probably use Apple Pay (although a few places like CVS manually disable Apple Pay).
You can also find Apple Pay in iPhone, iPad, and Apple Watch apps and even on the web from iPhone, iPad, and Mac on a growing number of websites.
Apple Pay is in a lot more stores today than two years ago, but you still can’t totally replace your debit or credit card with it. Apple regularly works with banks and credit unions across the country to add Apple Pay support and now nearly all banks are supported. But readers often tell us that they want to hear about new businesses accepting Apple Pay too.
Flipping that switch is a much bigger task for businesses — it involves replacing payment terminals for one — but some businesses have contactless-ready terminals and block Apple Pay or have chip reader terminals that don’t work with contactless payments.
I posed this question on Twitter yesterday: What are the top three places where you’d want to see Apple Pay accepted if you could flip a switch? The responses were very helpful in understanding where the biggest opportunities for Apple Pay adoption exist.
The first four were the most popular responses by far with the other results getting a mention or two:
Regional grocery store chains
Gas stations at the pump
Restaurants (split billing, tips, kiosks on tablets, all sit down restaurants)
At least one person responded to say that they’re still waiting for their US bank to support Apple Pay, and people in Spain and Germany said they just want support in their countries. Several people in Canada responded to say the question didn’t really apply to them because Apple Pay is generally accepted everything.
I agree with all of the responses above plus the people who said generally anywhere cash is accepted or where credit card readers are available. Solutions like Square’s contactless card reader (and competitors) help make that possible for almost any business. I would also add drive-thrus to the list: plenty of Apple Pay fast food chains don’t properly support drive-thru windows.
Let’s look at a few items on the list starting with gas stations. Chevron has said it is planning to accept Apple Pay at the pump but I can report that this hasn’t extended to my neck of the woods yet. Texaco under Chevron is also listed as an Apple Pay partner, but my suspicion is that some of these terminals are found inside and not at the pump. Paying for gas with a card is more convenient for filling up since you don’t know how much to pay ahead of time, and going inside is only really necessary with cash.
The only way I’ve been able to Apple Pay for gas in my area is with the Exxon Mobil Speedpass+ app. It’s a bit of a hack: you Apple Pay in the app then fuel up rather than wave your iPhone or Apple Watch by a terminal but it works. It’s just not worth driving out of your way for if you don’t live near a station.
Sit down restaurants can accept Apple Pay, which is way more ideal than handing a stranger your debit or credit card to walk away with and swipe. But this is currently limited to select OpenTable restaurants in certain regions.
It’s possible for vending machines and ATMs to work with Apple Pay. Chase and Bank of America already have Apple Pay ATMs that let you withdraw cash with your iPhone or Apple Watch rather than your debit card. (I’ve never seen one personally except on Twitter.) We heard about Apple Pay vending machines and parking spots two years ago but it’s clear replacing hardware takes a while. I’ve seen Coke vending machines with contactless payments and their loyalty card works with Apple Pay.
Doctor’s offices are also a great suggestion. Medical billing for me usually involves passing back a credit card over the counter, but I’m sure there are some offices that accept Apple Pay. I’d love an office that accepts Apple Pay and shares medical records for importing into the Health app.
CVS has the contactless payment hardware in place but goes out-of-the-way to not accept Apple Pay. This was initially because of CurrentC, a competing mobile payment service that fizzled out before launch, and now has more to do with CVS Pay. 9to5Mac asked CVS about the current state of Apple Pay at their stores and received this statement:
We currently do not offer Apple Pay. Today we announced the rollout of our CVS Pay solution chainwide and right now we focused on creating the best customer shopping experience and building loyalty within our own Mobile App. With CVS Pay, our customers get more than just payment functionality: they get a convenient and integrated experience that simplifies the entire checkout experience, from picking up their prescription to earning ExtraCare deals. We will continue to evaluate all potential Mobile Payment solutions that would be able to provide a great shopping experience for our customers.
Walmart doesn’t actively block Apple Pay but similarly provides their own mobile payment service that requires an app, Walmart Pay. When asked about supporting Apple Pay in stores, Walmart replied that they are open to a solution that could work similar to Exxon Mobile Speedpass+ but not straight forward Apple Pay:
We made a strategic decision to design Walmart Pay to work with almost any smartphone and accept almost any payment type – even allowing for the integration of other mobile wallets in the future. We are currently evaluating several mobile wallets we could potentially integrate into Walmart Pay in the future.
The thing for me is this: my local grocery store may have higher prices than Walmart (I’m not comparing but this is probably true), but I’ll go to my grocery store over Walmart whenever possible just to use Apple Pay. The same is true for Walgreens or Rite-Aid over CVS.
Hopefully when we revisit this topic in another year, the list continues to shrink even more.
I’ll wrap up with a few resources for businesses that don’t accept Apple Pay yet but would consider it. Square Contactless is an affordable card reader that works with Apple Pay, Android Pay, and chip cards and financing options are available to make deploying easier. I did a quick hands-on demo earlier this year to try it in action. I’ve since seen it used in at least two local businesses.
Apple also has resources for businesses and Apple Pay:
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Introduction to Java Servlet Interview Questions and Answers
Web development, programming languages, Software testing & others
Now, if you are looking for a job that is related to Java Servlet then you need to prepare for the 2023 Java Servlet Interview Questions. It is true that every interview is different as per the different job profiles. Here, we have prepared the important Java Servlet Interview Questions and Answers which will help you get success in your interview.
In this 2023 Java Servlet Interview Questions article, we shall present 10 most important and frequently asked Java Servlet interview questions. These 2023 Java Servlet interview questions are divided into two parts are as follows:Part 1 – Java Servlet Interview Questions (Basic)
This first part covers basic Interview Questions and Answers.Q1. What is a Java Servlet?
A Java Servlet is a web component in which its lifecycle is managed by a servlet container present in a web server. A Servlet is nothing but a simple Java class that extends the features of a Servlet interface by implementing the Java Servlet API by conforming and complying with the Java EE standards. A servlet could establish communication in the form of a client-server protocol. A Servlet is a javax. servlet package which can be used by adding as a dependency or in a library to utilize its functionalities or features.Q2. What are the features of Servlet?
This is the basic Interview Questions asked in an interview. The different features of a Servlet are –
It has a dependency on the Java Standard Edition version 5 i.e., J2SE 5.0.
It supports annotations features that reduce the code complexity and enables loose coupling in code.
It helps in loading the class using chúng tôi i.e. called Deployment Descriptor.
It is portable and easy to use and implement.
It is robust, efficient and scalable.
It has different features such as exception handling, garbage collection, security mechanism, etc.,
It is less prone to memory leaks and memory management faults.Q3. What are the different phases of Java Servlet Life Cycle?
Initialization: In this stage, init() method of the servlet will be called and executed to initialize the servlet.
Service: In this stage, the service() method of the servlet is called to process the request and return the response to the client through a web server.
Destroy: In this stage, the destroy() method is called, which is the last phase of the Servlet where the servlet instance or the object will be destroyed and finally it will be garbage collected.Q4. What are the different functionalities of the Servlet Container?
This is the basic Java Servlet Interview Questions asked in an interview. The below is the list of few functionalities of Servlet Container but are not exhausted :
It handles the life cycle management of a servlet.
It supports the communication mechanism between a web browser and the servlet.
It supports multithreading which in turn supports in the execution of the multiple servlets.
It has declarative inbuilt security features, JSP (Java Server pages) support.
It implements java enterprise architecture.
It supports concurrency, security, transaction, deployment, lifecycle management, automatic garbage collection, and a few other services.Q5. Explain the architecture of the Servlet Life Cycle? Part 2 – Java Servlet Interview Questions (Advanced) Q6. What is HTTP Servlet? Q7. What is a Servlet Filter?
A Servlet Filter is used to filter the requests and responses of the client in a Servlet Container. This can be implemented by using filter elements in the Deployment Descriptor i.e., chúng tôi of the web application. It also performs some form of post-processing after filtering the request of the client. Servlet filters are portable and can be easily integrated with the Servlet components which are a kind of pluggable. Filters can be in multiple numbers with to filter the servlet requests and responses. The Servlet Filter lifecycle method are init(), doFilter() and destroy() which are similar to Servlet except the Service() method where the servlet will be initialized, performs filtering operations and destroys the filter instance or object.Q8. What are the different Servlet Filters?
The different Servlet filters available are Data compression Filters, Authentication Filters, Filters which triggers the resources access events, Encryption Filters, Logging, Auditing Filters, Tokenizing Filters, and Image Conversion Filters.Q9. What is a Session in Servlet?
This is the popular Java Servlet Interview Questions asked in an interview. A Session is a period of an interval in which the state of the Servlet is maintained in the Servlet Container. This process is called Session Management in the Servlet. Session tracking can also be maintained in Servlet by tracking the state of a user. As HTTP Servlet is stateless, Session can be used along with HttpServlet to maintain HTTP Session.Q10. What are the different protocols supported by HttpServlet?
The different protocols supported by HTTPServlet are HTTP (Hyper Text Transfer Protocol)and HTTPS (Hyper Text Transfer Protocol Secure).Recommended Articles
This has been a guide to the list of Java Servlet Interview Questions and Answers so that the candidate can crackdown these Interview Questions easily. Here in this post, we have studied top Java Servlet Interview Questions which are often asked in interviews. You may also look at the following articles to learn more –
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