Eladio Rocha
Quiz von , erstellt am vor 18 Tage

This quiz covers the core concepts of data lakes and their implementation in big data systems, with a focus on AWS tools like S3, Glue, Athena, and Redshift Spectrum. It explores how to structure, query, and optimize data in distributed file storage systems, emphasizing practical design considerations and performance optimization strategies.

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Eladio Rocha
Erstellt von Eladio Rocha vor 18 Tage
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Data Lakes and Big Data Systems

Data Lakes and Big Data Systems

Frage 1 von 9

1

What is a "data lake"?

Wähle eine der folgenden:

  • A formal database for structured data.

  • A distributed file storage system containing raw, unstructured data.

  • A highly redundant server-based database system.

  • A collection of relational database schemas.

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Frage 2 von 9

1

Which cloud service is commonly used to implement a data lake?

Wähle eine der folgenden:

  • Amazon RDS

  • Amazon S3

  • Amazon DynamoDB

  • Amazon EC2

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Frage 3 von 9

1

What is the primary purpose of AWS Glue in the context of a data lake?

Wähle eine der folgenden:

  • To store data redundantly across regions.

  • To provide a SQL interface for querying raw data.

  • To crawl unstructured data and define schemas.

  • To optimize database queries for performance.

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Frage 4 von 9

1

What tool allows SQL queries directly on data stored in Amazon S3?

Wähle eine der folgenden:

  • Amazon DynamoDB

  • Amazon Athena

  • Amazon ElasticSearch

  • Amazon Lambda

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Frage 5 von 9

1

How does Redshift Spectrum enhance the capabilities of Amazon Redshift?

Wähle eine der folgenden:

  • By integrating with Amazon Glue to create schemas.

  • By querying data stored directly in Amazon S3.

  • By offering serverless SQL querying capabilities.

  • By storing all data in highly redundant clusters.

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Frage 6 von 9

1

Why is partitioning data important in a data lake?

Wähle eine der folgenden:

  • To replicate data across regions for redundancy.

  • To organize raw files into predefined schemas.

  • To improve query performance by narrowing data access.

  • To ensure compatibility with Amazon Glue.

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Frage 7 von 9

1

What is a typical partitioning strategy for storing log data?

Wähle eine der folgenden:

  • Partitioning by file size.

  • Partitioning by data source.

  • Partitioning by date.

  • Partitioning by user ID.

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Frage 8 von 9

1

How should you approach data lake architecture from a system design perspective?

Wähle eine der folgenden:

  • Design the data lake structure based on how end-users will query the data.

  • Store all data in a single bucket without structure to maximize flexibility.

  • Focus exclusively on schema design before considering query patterns.

  • Prioritize database migration over partitioning strategies.

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Frage 9 von 9

1

What is one advantage of using off-the-shelf tools like AWS Glue and Amazon Athena?

Wähle eine der folgenden:

  • They allow complete control over low-level data management.

  • They eliminate the need to think about data structure.

  • They enable scalable and reliable big data solutions with minimal custom design.

  • They prevent redundancy in cloud storage systems.

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