Data Lake and Lake Formation
24 Questions
0 Views

Choose a study mode

Play Quiz
Study Flashcards
Spaced Repetition
Chat to Lesson

Podcast

Play an AI-generated podcast conversation about this lesson

Questions and Answers

What type of data can Amazon Redshift handle?

  • Only semi-structured data
  • Only structured data
  • Only unstructured data
  • Both structured and semi-structured data (correct)

Which of these is NOT a benefit of using Amazon Redshift Serverless?

  • Automatic provisioning and scaling of data warehouse capacity
  • Pay-as-you-go pricing model
  • Requires manual infrastructure management (correct)
  • Provides fast performance for demanding workloads

Which service allows you to process streaming data using Apache Kafka?

  • Amazon MSK (correct)
  • Amazon Redshift
  • Amazon Athena
  • Amazon QuickSight

What is the primary function of Amazon Redshift?

<p>Storing and analyzing large datasets (C)</p> Signup and view all the answers

Which service can be used to analyze data stored in an Amazon S3 data lake?

<p>All of the above (D)</p> Signup and view all the answers

What is the main advantage of using Amazon Redshift over traditional on-premises solutions?

<p>Significantly lower costs (D)</p> Signup and view all the answers

What does Amazon Redshift use to achieve fast query completion?

<p>Massively parallel query execution (D)</p> Signup and view all the answers

What is the primary function of Lake Formation?

<p>To create and manage data lakes by automating various tasks. (B)</p> Signup and view all the answers

Which of the following is NOT a benefit of using a data lake?

<p>Simplified data management with minimal automation (B)</p> Signup and view all the answers

Which of these is NOT a use case for Amazon Redshift Serverless?

<p>Developing serverless functions (B)</p> Signup and view all the answers

What is the primary type of database management system used by Amazon Redshift?

<p>Relational (C)</p> Signup and view all the answers

Which service enables interactive data analysis and querying of data stored in Amazon S3?

<p>Amazon Athena (C)</p> Signup and view all the answers

How does Amazon Redshift Serverless ensure cost-effectiveness for users?

<p>By charging only for the resources used (D)</p> Signup and view all the answers

Which service provides a fully managed data warehouse solution?

<p>Amazon Redshift (B)</p> Signup and view all the answers

Which service can be used to build machine learning models using data stored in an Amazon S3 data lake?

<p>SageMaker (C)</p> Signup and view all the answers

Which of the following is NOT a task typically involved in setting up and managing a data lake?

<p>Setting up and managing relational database schemas (C)</p> Signup and view all the answers

What is one primary function of AWS Entity Resolution?

<p>To remove duplicate records and create customer profiles (B)</p> Signup and view all the answers

What does AWS Glue primarily assist with?

<p>Extracting, transforming, and loading data for analytics (C)</p> Signup and view all the answers

Which of the following engines does AWS Glue Data Integration provide access to?

<p>Apache Spark, PySpark, and Python (B)</p> Signup and view all the answers

How does AWS Glue Data Quality help users?

<p>By automatically detecting and monitoring data quality issues (B)</p> Signup and view all the answers

What is the primary purpose of AWS Lake Formation?

<p>To help set up secure data lakes quickly (C)</p> Signup and view all the answers

In the context of AWS services, what does ETL stand for?

<p>Extract, Transform, Load (B)</p> Signup and view all the answers

Which of the following describes the role of AWS Glue Data Catalog?

<p>A repository of metadata that makes data easily searchable and queryable (A)</p> Signup and view all the answers

What common feature does AWS Glue offer for scaling workloads?

<p>Integration with big data processing frameworks (A)</p> Signup and view all the answers

Study Notes

Data Lake

  • A centralized, curated, and secured repository that stores all data, both in its original form and prepared for analysis.
  • Enables breaking down data silos and combining different types of analytics to gain insights and guide better business decisions.

Lake Formation

  • Simplifies setting up and managing data lakes by defining data sources and applying access and security policies.
  • Collects and catalogs data from databases and object storage, moves data into Amazon S3, cleans and classifies data using ML algorithms, and secures access to sensitive data.
  • Provides a centralized catalog of data that describes available data sets and their usage.

AWS Glue

  • A fully managed extract, transform, and load (ETL) service that prepares and loads data for analytics.
  • Discovers data, stores metadata in the AWS Glue Data Catalog, and makes data searchable, queryable, and available for ETL.
  • Provides access to data using Apache Spark, PySpark, and Python, and can scale workloads using Ray.

AWS Glue Data Quality

  • Measures and monitors data quality of Amazon S3 based data lakes, data warehouses, and other data repositories.
  • Automatically computes statistics, recommends quality rules, and monitors and alerts when detecting missing, stale, or bad data.

Amazon Redshift

  • A cloud data warehouse that makes it fast, simple, and cost-effective to analyze all data using standard SQL and existing Business Intelligence (BI) tools.
  • Allows running complex analytic queries against terabytes to petabytes of structured and semi-structured data.
  • Provides fast performance, scalable storage, and cost-effective pricing.

Amazon Redshift Serverless

  • Makes it easier to run and scale analytics without managing data warehouse infrastructure.
  • Automatically provisions and scales data warehouse capacity to deliver fast performance for demanding workloads.
  • Provides flexible, familiar SQL features in an easy-to-use, zero administration environment.

Amazon Managed Streaming for Apache Kafka (Amazon MSK)

  • A fully managed service that makes it easy to build and run applications that use Apache Kafka to process streaming data.

AWS Entity Resolution

  • Uses flexible, configurable ML and rule-based techniques to remove duplicate records, create customer profiles, and personalize experiences across advertising and marketing campaigns.
  • Can create a unified view of customer interactions by linking recent events, such as ad clicks, cart abandonment, and purchases, into a unique match ID.

Studying That Suits You

Use AI to generate personalized quizzes and flashcards to suit your learning preferences.

Quiz Team

Related Documents

AWS-services-overview.pdf

Description

Understand the concept of a data lake and how Lake Formation simplifies setting up and managing data lakes to gain business insights.

More Like This

Use Quizgecko on...
Browser
Browser