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Exam AWS Certified Cloud Practitioner topic 1 question 195 discussion

Exam question from Amazon's AWS Certified Cloud Practitioner
Question #: 195
Topic #: 1
[All AWS Certified Cloud Practitioner Questions]

Which of the following is a managed AWS service that is used specifically for extract, transform, and load (ETL) data?

  • A. Amazon Athena
  • B. AWS Glue
  • C. Amazon S3
  • D. AWS Snowball Edge
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Suggested Answer: B 🗳️

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myan2492
Highly Voted 2 years, 5 months ago
B. Glue == stick 3 things together: Extract, transform, load (ETL)
upvoted 25 times
blopa
1 year, 7 months ago
smart answer
upvoted 2 times
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ACLOUD_PRACTITIONER
Highly Voted 2 years, 4 months ago
Selected Answer: B
AWS Glue is another offering from AWS and is a serverless ETL (Extract, Transform, and Load) service on the cloud. It is fully managed, cost-effective service to categorize your data, clean and enrich it and finally move it from source systems to target systems.
upvoted 9 times
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HebaXX
Most Recent 3 weeks, 3 days ago
Selected Answer: B
AWS Glue is fully manged ETL it helps to move date between data stores, you can use AWS Glue to automate the ETL process.
upvoted 1 times
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Pranava_GCP
1 year, 8 months ago
Selected Answer: B
B. AWS Glue
upvoted 1 times
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man5484
1 year, 9 months ago
Selected Answer: B
AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easy to prepare and load data for analytics. It provides capabilities for discovering, cataloging, cleaning, and transforming data, making it ready for analysis. With AWS Glue, you can create and manage data transformation workflows, and it integrates well with other AWS services for data storage, such as Amazon S3 and Amazon Redshift.
upvoted 2 times
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konieczny69
2 years, 2 months ago
not int he scope of the exam
upvoted 2 times
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Saif93
2 years, 2 months ago
Selected Answer: B
B is the answer.
upvoted 1 times
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Aliciuzza
2 years, 4 months ago
Selected Answer: B
Aws Glue as per doc " AWS Glue is a fully managed extract, transform, and load (ETL) service that makes it easier to discover, prepare, and combine data for analytics, machine learning (ML), and application development." Ref: https://aws.amazon.com/it/what-is/etl/#:~:text=AWS%20Glue%20is%20a%20fully,ML)%2C%20and%20application%20development.
upvoted 4 times
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JA2018
2 years, 5 months ago
Selected Answer: B
https://ahana.io/answers/the-differences-between-aws-athena-and-aws-glue-ahana/ AWS Glue is also serverless, but more of an ecosystem of tools to allow you to easily do schema discovery and ETL with auto-generated scripts that can be modified either visually or via editing the script. The most commonly known components of Glue are Glue Metastore and Glue ETL. Glue Metastore is a serverless hive compatible metastore which can be used in lieu of your own managed Hive. Glue ETL on the other hand is a Spark service which allows customers to run Spark jobs without worrying about the configuration, manageability and operationalization of the underlying Spark infrastructure. There are other services such as Glue Data Wrangler which we will keep outside the scope of this discussion.
upvoted 3 times
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sujitwarrier11
2 years, 6 months ago
Selected Answer: B
AWS glue provides serverless ETL
upvoted 1 times
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akosigengen
2 years, 7 months ago
B. AWS Glue provides both visual and code-based interfaces to make data integration easier. Users can easily find and access data using the AWS Glue Data Catalog. Data engineers and ETL (extract, transform, and load) developers can visually create, run, and monitor ETL workflows with a few clicks in AWS Glue Studio.
upvoted 1 times
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