In this article i am gone to share Introduction to Designing Data Lakes on AWS Week 4 Quiz Answers with you..

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Introduction to Designing Data Lakes on AWS Week 4 Quiz Answers

Question 1)
True or False: It is a best practice that companies treat the original, ingested version of data in their data lake as immutable. Any data processing that is done to the original data should be stored as a secondary copy or extra copy of the data, which will then be analyzed.

• True
• False

Question 2)
Which scenario represents AWS Glue jobs as the BEST tool for the job?

• Analyze data in real time as data comes into the data lake.
• Transform data in real time as data comes into the data lake.
• Transform data on a schedule or on demand.
• Analyze data in batches on schedule or on demand.

Question 3)
A company collects and analyzes large amounts of data daily. Why should the company use a compression strategy for their processes?

• Compressed data slows the time to process and analyze information.
• By using compressed data, data-processing systems can optimize for memory and cost.
• Compressed data uses a row-based data format that works well for data optimization.
• Compressed data increases the risk of losing valuable information.

Question 4)
A software developer recently uploaded data logs from their application to Amazon Simple Storage Service (Amazon S3). Who is responsible for encrypting both the data at rest in the S3 bucket and the data in transit to the S3 bucket, according to the AWS shared responsibility model?

• AWS
• Customer
• Both AWS and the customer
• Third-party security company

Question 5)
Which statement about data visualization is TRUE?

• Raw data is generally formatted to be read and used by a human eye.
• Visualization data is always captured in a text editor.
• If there is more data, making sense of the data will be more difficult without using visualization tools.
• A click map is the main reason to invest into data visualization.

Question 6)
What makes Amazon QuickSight different, compared to other traditional business intelligence (BI) tools?

• The ability to create sharable dashboards
• Data encryption at every layer
• Super-fast, Parallel, In-memory Calculation Engine (SPICE)
• The ability to visualize data

Question 7)
What is the purpose of the Registry of Open Data on AWS?

• Help people discover and share datasets that are available outside of AWS resources.
• Provide a service that people can use to transform public datasets that are published by data providers through an API.
• Provide a service that people can use to ingest software as a service (SaaS) application data into a data lake.
• Help people discover and share datasets that are available through AWS resources.

Question 8)
True or False: Amazon QuickSight is a cloud-scale business intelligence (BI) service that developers can use to deliver interactive visualizations and dashboards for data analysis and forecasting.

• True
• False