Data Lakes and Big Data Systems

Beschreibung

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.
Eladio Rocha
Quiz von Eladio Rocha, aktualisiert vor 18 Tage
Eladio Rocha
Erstellt von Eladio Rocha vor 18 Tage
1
0

Zusammenfassung der Ressource

Frage 1

Frage
What is a "data lake"?
Antworten
  • 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.

Frage 2

Frage
Which cloud service is commonly used to implement a data lake?
Antworten
  • Amazon RDS
  • Amazon S3
  • Amazon DynamoDB
  • Amazon EC2

Frage 3

Frage
What is the primary purpose of AWS Glue in the context of a data lake?
Antworten
  • 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.

Frage 4

Frage
What tool allows SQL queries directly on data stored in Amazon S3?
Antworten
  • Amazon DynamoDB
  • Amazon Athena
  • Amazon ElasticSearch
  • Amazon Lambda

Frage 5

Frage
How does Redshift Spectrum enhance the capabilities of Amazon Redshift?
Antworten
  • 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.

Frage 6

Frage
Why is partitioning data important in a data lake?
Antworten
  • 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.

Frage 7

Frage
What is a typical partitioning strategy for storing log data?
Antworten
  • Partitioning by file size.
  • Partitioning by data source.
  • Partitioning by date.
  • Partitioning by user ID.

Frage 8

Frage
How should you approach data lake architecture from a system design perspective?
Antworten
  • 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.

Frage 9

Frage
What is one advantage of using off-the-shelf tools like AWS Glue and Amazon Athena?
Antworten
  • 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.
Zusammenfassung anzeigen Zusammenfassung ausblenden

ähnlicher Inhalt

glosario big data
flor romero
Mapa mental BIG DATA
leydam
Mapa Mental Big Data
Juan Carlos Estr7460
BIG DATA
Jairy Meneses
Examen Fundamental Big Data
Juan Taborda
Big Data
eaavilas
Glosario Terminos competencias digitales
Rosario Arana
Modulo 2 - Big Data Analysis & Technology Concepts
Juan Taborda
Big Data Tema 1 Introducción al big data en la educación
Adriana Marzuca
Parte 1: Sociodeterminismo
Oriol Palmero Milan
Big Data, funciones del psicopedagogo, seguridad y confidencialidad 0
Beatriz Sánchez