Questions and Answers
What type of data can Amazon Redshift handle?
Which of these is NOT a benefit of using Amazon Redshift Serverless?
Which service allows you to process streaming data using Apache Kafka?
What is the primary function of Amazon Redshift?
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Which service can be used to analyze data stored in an Amazon S3 data lake?
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What is the main advantage of using Amazon Redshift over traditional on-premises solutions?
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What does Amazon Redshift use to achieve fast query completion?
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What is the primary function of Lake Formation?
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Which of the following is NOT a benefit of using a data lake?
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Which of these is NOT a use case for Amazon Redshift Serverless?
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What is the primary type of database management system used by Amazon Redshift?
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Which service enables interactive data analysis and querying of data stored in Amazon S3?
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How does Amazon Redshift Serverless ensure cost-effectiveness for users?
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Which service provides a fully managed data warehouse solution?
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Which service can be used to build machine learning models using data stored in an Amazon S3 data lake?
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Which of the following is NOT a task typically involved in setting up and managing a data lake?
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What is one primary function of AWS Entity Resolution?
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What does AWS Glue primarily assist with?
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Which of the following engines does AWS Glue Data Integration provide access to?
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How does AWS Glue Data Quality help users?
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What is the primary purpose of AWS Lake Formation?
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In the context of AWS services, what does ETL stand for?
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Which of the following describes the role of AWS Glue Data Catalog?
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What common feature does AWS Glue offer for scaling workloads?
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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.
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Description
Understand the concept of a data lake and how Lake Formation simplifies setting up and managing data lakes to gain business insights.