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Introduction to Designing Data Lakes on AWS Week 3 Quiz Answers

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Introduction to Designing Data Lakes on AWS Week 3 Quiz Answers

Question 1)
True or False: Amazon Kinesis processes and analyzes data as it arrives, and there is no need to wait until all data is collected before the processing can begin.

  • True
  • False

Question 2)
A company wants to transfer files into and out of Amazon Simple Storage Service (Amazon S3) storage by using AWS Transfer Family. Several users in the company need permissions to access a specific object storage bucket that hosts the files from AWS Transfer Family. What is the BEST way to provide the needed bucket-access permissions to these users?

  • AWS account root user
  • AWS Identity and Access Management (IAM) user
  • AWS Identity and Access Management (IAM) role
  • Access keys

Question 3)
What is the most common way of categorizing data in terms of structure?

  • Structured data, unstructured data, and semi-structured data
  • Ready data, not-ready data, and semi-ready data
  • The good data, the bad data, and the ugly data
  • Development data, quality assurance (QA) data, and production data

Question 4)
A solutions architect is tasked with transporting data from their organization to AWS by using the AWS Snow Family. The organization wants to transport data that needs less than 8 terabytes (TB) of usable storage. Which Snow Family device should the solutions architect recommend for this use case?

  • AWS Snowmobile
  • AWS Snowball
  • AWS Glue
  • AWS Snowcone

Question 5)
Which statement about the AWS Glue crawler is TRUE?

  • An AWS Glue crawler can scan a data store, such as an Amazon Simple Storage Service (Amazon S3) bucket, and use the data from the data store to create or update tables in the AWS Glue Data Catalog.
  • An AWS Glue crawler runs Structured Query Language (SQL) queries to analyze data directly in Amazon Simple Storage Service (Amazon S3).
  • An AWS Glue crawler collects and catalogs data from databases and object storage, moves the data into a new Amazon Simple Storage Service (Amazon S3) data lake, and classifies the data by using machine learning algorithms.
  • An AWS Glue crawler performs interactive log analytics, real-time application monitoring, website search, and more.

Question 6)
True or False: AWS future-proofs data lakes with a standardized storage solution that has capabilities to grow and scale with an organizationโ€™s needs.

  • False
  • True

Question 7)
Which statements about the Amazon Kinesis Family are true? (Choose TWO.)

  • Amazon Kinesis Data Streams stores data only in the JSON format.
  • The Amazon Kinesis Family can ingest a high volume of small bits of data that are being processed in real time.
  • By writing data consumers, customers can move data that is ingested into Amazon Kinesis Data Streams to an Amazon Simple Storage Service (Amazon S3) bucket with minimum modification.
  • Amazon Kinesis Data Analytics loads data streams into AWS databases.
  • Amazon Kinesis Data Analytics provides an option to author non-Structured Query Language (SQL) code to process and analyze streaming data.

Question 8)
A company is receiving large amounts of streaming data from mobile devices, websites, servers, and sensors. They want to run analytics on the data that they are receiving. Which service should the company use for this use case?

  • Account monitoring with AWS CloudTrail
  • Log monitoring with Amazon CloudWatch
  • Log analysis with Amazon Kinesis Family
  • Log analysis with Amazon Pinpoint