AWS Certified Data Analytics Specialty 2021 – Hands-On - Glue, Hive, and ETL

AWS Certified Data Analytics Specialty 2021 – Hands-On - Glue, Hive, and ETL

Assessment

Interactive Video

Information Technology (IT), Architecture, Social Studies

University

Hard

Created by

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The video tutorial covers the integration of Hive with AWS Glue, focusing on the Glue Data Catalog and its role as a metadata store. It explains Glue ETL's capabilities, including automatic code generation for data transformation using Apache Spark, and discusses dynamic frames and various data transformations. The tutorial also highlights the Resolve Choice method for handling ambiguities in dynamic frames.

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10 questions

Show all answers

1.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the primary purpose of HiveQL in the context of AWS Glue?

To schedule ETL jobs

To encrypt data at rest

To issue SQL-like queries on data in EMR

To manage server configurations

2.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Glue ETL enhance data transformation processes?

By automatically generating transformation code

By providing a command-line interface

By offering manual data entry options

By disabling encryption

3.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

How does Glue ETL handle encryption?

Both at rest and in transit

Only in transit

It does not support encryption

Only at rest

4.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is a dynamic frame in Glue ETL?

A static data structure

A collection of dynamic records with schema

A type of database

A manual data entry form

5.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which transformation is used to remove empty data in Glue ETL?

Drop fields

Join

Filter

Map

6.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

What is the purpose of the Find Matches ML transformation?

To convert data formats

To identify duplicate records

To encrypt data

To schedule jobs

7.

MULTIPLE CHOICE QUESTION

30 sec • 1 pt

Which formats can Glue ETL automatically convert between?

HTML, PDF, DOCX

CSV, JSON, Avro, Parquet, ORC, XML

MP3, WAV, FLAC

JPEG, PNG, GIF

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