Tell Me About Some Of The Essential Qualities An Experienced Qa Or Test Lead Must Possess
A QA or Test Lead should have the following qualities:
Q7 What Is Bug Triage
Ans: Bug triage is a formal process to find which bugs are important by prioritizing them based on their severity, frequency, risk and other important parameters. Testers assign priority to each and every bug in a bug triage meeting and based on the priority those bugs will be fixed in an order. By doing this we could save a lot of organizations time.
Q13 What Is The Difference Between Build And Release
Bug Leakage: A bug which is actually missed by the testing team while testing and the build was released to the Production. If now that bug was found by the end user or customer then we call it as Bug Leakage.Bug release: Releasing the software to the Production with some known bugs then we call it as Bug Release. These known bugs should be included in the release note. In other case, releasing the software to the testing team with some known bugs whose severity and priority is low. These bugs can be removed before releasing to production.
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What Is The Purpose Of The End
End-to-end testing is a testing strategy to execute tests that cover every possible flow of an application from its start to finish. The objective of performing end-to-end tests is to discover software dependencies and to assert that the correct input is getting passed between various software modules and sub-systems.
What Are Training And Testing Accuracy
Software testing allows you to verify any system so that you can identify any sort of gaps, errors, and missing client requirements. It is done with the help of several methods and models that allow you to check and test the software in each and every step from its development to its execution. In simple terms, software testing is the process in which you find errors in any given software program or application such that the application functions as per the requirements of the end-user. Testing can be classified into two major categories: Functional testing and non-functional testing.
Training accuracy and testing accuracy are two ways in which the accuracy of the software can be tested. With the help of these tests, you can monitor the working, accuracy, and ability of the given software and also check if the requirements of the clients are met. In general, the training accuracy is the accuracy that you attain after applying the given model on the available training data, whereas in testing accuracy, the accuracy you receive is for the testing data. These are extremely helpful when you need to compare the results to identify overtraining.
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What Is The Average Age Of A Defect In Software Testing
Defect age is the time elapsed between the day the tester discovered a defect and the day the developer got it fixed.
While estimating the age of a defect, consider the following points:
- The day of birth of a defect is the day it got assigned and accepted by the development team.
- The issues which got dropped are out of the scope.
- Age can be both in hours or days.
- The end time is the day the defect got verified and closed, not just the day it got fixed by the development team.
What Is The Difference Between Retesting And Regression Testing
|Regression is a type of testing used to verify whether the new changes in the code have affected the unchanged features or not.||Retesting is the testing of modules that have been failed in the last execution.|
|The main aim of Regression testing is that any changes made in the code should not affect the existing functionalities.||Retesting is the testing which is performed on the defects that have been fixed.|
|It is generic testing as it can be performed at any time whenever the changes made in the code.||It is planned testing.|
|It is performed on the test cases that have been passed.||It is performed on the test cases that have been failed.|
|Automation can be done for regression testing, while manual testing will be expensive and time consuming.||To perform the Retesting, we cannot automate the test cases.|
|Defect verification does not come under the Regression testing.||Defect verification comes under the Retesting.|
|Based on the availability of resources, regression testing is performed in parallel with the retesting.||The priority of retesting is more than the regression testing, so it always performed before the regression testing.|
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How To Nail Amazons Behavioral Interview Questions
It’s no secret that getting a job at the big tech companies is challenging. In a way, interview processes at companies like Google, Facebook, and Amazon are as famous as the companies themselves.
There are countless books geared at giving their readers a leg up on these interviews, such as and
Amazon does things a little differently. Applicants can expect to be asked a set of questions commonly referred to as behavioral interview questions. Amazon puts an enormous emphasis on these questions as they strive to find candidates that will fit in with the company culture – much more so than other FAANG companies like Apple or Facebook, where technical skills are generally assessed more heavily.
“I’d rather interview 50 people and not hire anyone than hire the wrong person.” – Jeff Bezos, Founder and Former CEO, Amazon
Behavioral questions are difficult to improvise on the spot, so it’d be wise to prepare for them ahead of time. This article will allow you to do just that. We’ve included:
- A quick introduction to behavioral interview questions and what they assess.
- The STAR method: A framework for answering behavioral questions effectively.
- A deep-dive into each of the 16 leadership principles Amazon uses to assess candidates.
- 50+ recently-asked Amazon interview questions to practice, and example answer including several mock interview videos.
Before we get down to it, we should probably explain what exactly a behavioral interview question is.
Amazon Qa Interviewquestions On Testing
Testing for bugs, errors, and inconsistencies is the primary role of an Amazon QA engineer. Below are some testing questions asked at Amazonâs QA interview:
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Q6what Is The Difference Between Preventative And Reactive Approaches In Testing
Ans: Preventive approach: It is also known as Verification Process. This approach is to prevent defects. In this approach, tests are designed at early stages of SDLC i.e., before the software has been produced. Here in this approach testers try to prevent defects in the early stages. It comes under Quality Analysis .Reactive approach: It is also known as Validation Process. This approach is to identify defects. In this approach, tests are designed to execute after the software has been produced. Here we try to find defects. It comes under Quality Control .
What Should I Talk About In An Amazon Interview
Now, its important to understand that talking about your skills is only one part of the equation. You also need to be ready for Amazon behavioral interview questions. Some of these can be a little tricky, but, when handled properly, behavioral interview questions are also chances to shine. In most cases, a two-step approach is best.
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Seek Clarification And Ask Questions
If the interviewer asks you a question and does not provide sufficient information for you to give a proper answer, ask for more context.
You may also get a chance to ask some questions as your Amazon interview starts to wrap up. You must take advantage of this opportunity as it allows you to learn valuable things that can help you decide if the job is right for you. You may ask company-specific questions to the interviewer. Below are some questions that you can ask:
Q1. What do you expect from team members in this role?
Q2. What does a day in this role look like?
Q3. What qualities are needed to succeed at Amazon?
What Is Agile Testing And Why Is It Important
Agile testing is a software testing process that evaluates software from the customers point of view. It is favorable as it does not require the development team to complete coding for starting QA. Instead, both coding and testing go hand in hand. However, it may require continuous customer interaction.
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Deep Learning Interview Questions
In this Data Science Interview Questions blog, I will introduce you to the most frequently asked questions on Data Science, Analytics and Machine Learning interviews. This blog is the perfect guide for you to learn all the concepts required to clear a Data Science interview. To get in-depth knowledge of Data Science, you can enroll for live Python Data Science Certification Training by Edureka with 24/7 support and lifetime access. Before moving ahead, you may go through the recording of Data Science Interview Questions where our instructor has shared his experience and expertise that will help you to crack any Data Science. Data Science is a blend of various tools, algorithms, and machine learning principles with the goal to discover hidden patterns from the raw data. How is this different from what statisticians have been doing for years? The answer lies in the difference between explaining and predicting. Selection bias is a kind of error that occurs when the researcher decides who is going to be studied.
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Data Scientist Job Interview Prep: 7 Steps for Prepare analytics track data scientist interview in 7 steps: SQL, Product Sense, Basic Data Processing, A/B testing, Statistics, Probability, Behavior Questions.
You need to decide at least how many people will see the different colors of the button , and how many days will the testing run , and where should it be running .
How Do You Decide When You Have Tested Enough
This is one of the most crucial questions. As a project manager or project lead, sometimes we might face a situation to call off the testing to release the product early. In those cases, we have to decide whether the testers have tested the product enough or not.
There are many factors involved in real-time projects to decide when to stop testing:
- If we reach Testing deadlines or release deadlines
- In the real-time project, if the risk in the project is under the acceptable limit.
- If all the high priority bugs and blockers have been fixed.
- If we meet the acceptance criteria.
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Interview Process For Sde At Amazon
- Following rounds of interview process are followed.
- Online coding test
- 2 Coding questions 1 algorithmic and 1 maths
- 4 rounds of technical interviews. You are asked only on data structure and algorithms. You need to write the code snippet and explain it.
Example questions for technical round:
- Modify a given linked list to create another linked list within given time
- Searching and sorting algorithm based questions
- Difference between BFS and DFS
Is It Possible To Achieve 100% Testing Coverage How Would You Ensure It
Its considered not possible to perform 100% testing of any product. But you can follow the below steps to come closer.
- Set a hard limit on the following factors:
- Percentage of test cases passed
- Number of bugs found
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Things To Keep In Mind
1- For every problem, come up with a simple solution first. And then think of an optimal solution.
2- Program with clear and proper syntax. The interviewer should understand the code without your intervention.
3- You should be able to tell the complexity of your code.
4- Try to support your answers with useful examples.
5- Dont confuse instead ask for clarification. It wont hurt but help.
All the best and wish this blog post would help you succeed in Amazon quality assurance engineer interview.
What Do You Know About Data Flow Testing
It is one of the white-box testing techniques.
Data flow testing emphasizes for designing test cases that cover control flow paths around variable definitions and their uses in the modules. It expects test cases to have the following attributes:
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Are You Ready To Nail That Interview
Since its inception in 1994, Amazon has gone from being an ordinary garage space to becoming the worlds largest online retailer. And without a doubt, Amazon has eased the way manufacturers and consumers from around the globe interact. Today, there are about 310 million active customers on this platform. Amazons system generally relies heavily on collecting and utilizing data, thereby making data engineering a lucrative job role at the company. However, acing a data engineer interview at Amazon is tough, considering that there are a thousand others like yourself applying for such positions. Therefore, it is imperative to be exceptional to pass the data engineering interview at Amazon. Thats why weve taken the time to compile answers to some of the most troubling questions related to how to prepare for a data engineer interview at Amazon. What Are the Skills Needed as a Data Engineer at Amazon? What Does the Amazon Data Engineering Job at Amazon Entail? What Is the Amazon Data Engineering Interview Process Like?
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What Is A Bug Life Cycle
The bug life cycle is also known as the defect life cycle. Bug life cycle is a specific set of states that a bug goes through. The number of states that a defect goes through varies from project to project.
When a new defect is logged and posted for the first time, then the status is assigned as New.
Once the bug is posted by the tester, the lead of the tester approves the bug and assigns the bug to the developing team.
The developer starts analyzing and works on the defect fix.
When a developer makes a necessary code changes and verifies the change, then he/she can make the bug status as fixed.
Tester does the retesting of the code at this stage to check whether the defect is fixed by the developer or not and change the status to retest.
If the bug persists even after the developer has fixed the bug, then tester changes the status to Reopen and once again bug goes through the bug life cycle.
The tester retests the bug after it got fixed by the developer if no bug found then it changes the status to Verified.
If the bug is no longer exists, then it changes the status to Closed.
If the defect is repeated twice or the defect corresponds to the same concept of the previous bug, then it changes the status to Duplicate.
If the developer feels that the defect is not a genuine defect, then it changes the status to Rejected.
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What Do You Mean By Defect Detection Percentage In Software Testing
Defect detection percentage is a type of testing metric. It indicates the effectiveness of a testing process by measuring the ratio of defects discovered before the release and reported after the release by customers.
For example, lets say, the QA has detected 70 defects during the testing cycle and the customer reported 20 more after the release. Then, DDP would be: 70/ = 72.1%
Write The Differences Between Preventive And Reactive Approaches
Preventive Approach: It is also known as the Verification process. Preventive is the approach to prevent defects. In this approach, tests are designed in its early stages of Software Development Lifecycle before the software has developed. In this approach, testers try to prevent defects in the early stages it comes under Quality Analysis.
Reactive Approach: It is also known as Validation Process. This approach is to identify defects. In this approach, tests are designed to execute after the software’s development. In this approach, we try to find out the defects. It comes under Quality Control.
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