AWS Big Data service - get ready for the job interview
- 6 Practice Tests
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- be familiar with basic concepts of AWS cloud
You're working at a company dealing with IoT devices. These devices are installed at the homes of your clients and you're collecting the data they produce, to predict whether the residence will pay more or less for energy than last month.
The data is arriving at your pipeline every minute and your goal is to define a pipeline to collect, process and analyze the data.
Involved services: IoT, EMR, Kinesis Data Streams, Kinesis Data Firehose, Lambda, Machine Learning, S3, QuickSight
Few years ago your company tried to setup a data lake on top of AWS but without success. They only figured out how to collect data to S3 from Kinesis and RDS managed by 2 other teams of your company. At this moment, the data is only stored but nobody uses it.
You've just arrived to the company as a Big Data consultant specialized on AWS. You think that using AWS Lake Formation service instead of a custom and hard to use solution is the right thing to do.
Few of your colleagues who participated in the first unsuccessful architecture, are not convinced. They try to challenge your decision by asking you different questions. Prove them that Lake Formation is a better choice than custom stack.
Involved services: Athena, Glacier, Glue, Lake Formation, S3, QuickSight
Your company is using more and more cloud services but you still have some applications that need to access data stored on-premise. You were asked to propose a solution that will fulfill this requirement. Be ready for a lot of questions about data collection and migration.
Involved services: Database Migration Service, Schema Conversion Tool; Storage Gateway, Snowball
Your new data team uses a hand-made, cron-based shell orchestration. Unfortunately, every new integrated pipeline and dependency makes it much harder to maintain. Since your team has started to work with AWS data services, you all think that rewriting this legacy system into a shiny new, AWS-based one, is the right thing to do.
You participate in a discussion on how to integrate AWS Data Pipeline service with other AWS services you use. As an AWS Big Data expert, please advise your colleagues to put this service in place. You may also be asked about the alternative solutions.
Involved services: CloudTrail, CloudWatch, Data Pipeline, EMR, Lambda, Macie, Redshift, S3, StepFunctions
Your 2 colleagues founded a start-up working on online games and smartphone applications. They asked you to join their team for a few weeks because they encounter several problems with their on-premise architecture used to ingest, process and analyze the data produced by their users.
Since you know them well, you agreed with their proposal. You have to now drive design decisions about the architecture and help other, less experienced members of the software engineering team to increase their expertise on data services on AWS.
Involved services: DynamoDB, DynamoDB Streams, EMR, Kinesis Data Analytics, Kinesis Firehose, Kinesis Data Streams, Lambda, Machine Learning, SQS, QuickSight
You've joined a team which successfully implemented Kappa architecture on AWS. The data is continuously arriving from Kinesis to S3. Your new challenge is to migrate this data to Redshift.
Your colleagues know that you've been working with Redshift for a while. One of them is very excited about your arrival and has plenty of questions.
Involved services: Redshift, EMR, S3, Spectrum, Firehose, QuickSight
How to assert your knowledge on AWS Big Data services? How to verify that you know enough before the next job interview or certification?
There are different ways to do that. Pass different job interviews and learn after each one, ask questions to the community on the user groups. Usually, those are time-consuming approaches and one of their alternatives are quizzes. They provide not only a set of precise questions about the services but also give you some hints where to find the answers.
AWS Big Data services quiz is a 300+ questions quiz based on my preparation for AWS Big Data specialty certification that I passed in January 2020 with the score of 82%. The questions are scenario-based to facilitate their understanding. There is nothing worse than asking a question without any relationship to the business use case. Overall, you will find the questions around 6 topics, covering batch and streaming processing, data security and various storage techniques.
More exactly, thanks to the quiz you'll be able to assert your knowledge about the following AWS services: Athena, CloudWatch, Data Pipeline, Database Migration Service, DynamoDB, DynamoDB Streams, EMR, Glue, IoT, Kinesis Data Analytics, Kinesis Data Streams, Kinesis Firehose, Lake Formation, Lambda, Redshift, S3, Schema Conversion Tool, Snowball, StepFunctions, Storage Gateway, QuickSight.
- AWS users who want to pass any of data-related certification
- AWS users who simply want to check how well they know AWS data services
- not experienced AWS users who want to discover the AWS services they don't know