Free Online Amazon AWS-DEA-C01 Practice Test

Prepare Your Amazon AWS-DEA-C01 Exam Questions with Free online AWS-DEA-C01 Practice Test. Get Brilliant AWS Certified Data Engineer - Associate Exam Results with Valid DEA C01 Exam Dumps.

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Total 441 Questions | Updated On: Jul 16, 2024

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Question 1

A data engineering team wants to run SQL queries on their Amazon Redshift cluster from various applications without managing database connections. Which AWS service allows them to submit and manage these queries efficiently?

A : Implement AWS Lambda with Redshift as a trigger for query execution.

B : Use the Amazon Redshift Query Editor for direct SQL execution.

C : Use the Amazon Redshift Data API to run and manage SQL queries.

D : Deploy Amazon EC2 instances to host applications that connect to Redshift.

Answer: C

Question 2

A Cloud Data Engineering Team is working on a large-scale data analytics project for a retail company. The project involves analyzing sales data across multiple sources, including online transactions, in-store purchases, and third-party vendors.

To ensure that data scientists and analysts can find and access the right data efficiently, the team needs to implement a comprehensive data cataloging solution on AWS.

Which combination of AWS services and features should the data engineering team use to build and maintain an effective data catalog? (Select TWO)

A : Configure Amazon S3 event notifications to trigger AWS Lambda functions that update the data catalog in real-time as new data arrives.

B : Use AWS Glue Data Catalog as a central metadata repository to create a unified view of all data assets.

C : Implement Amazon Elasticsearch Service for indexing and searching metadata to enable quick retrieval of catalog information.

D : Utilize AWS Lake Formation to define data access policies centrally and manage permissions for data catalog entries.

E : Deploy Amazon RDS instances to store metadata about each data source, ensuring ACID compliance and relational organization.

Answer: B,D

Question 3

A Data Engineering Team is setting up a new job in AWS Glue ETL. They have configured their data sources and targets, defined the necessary transformations, but when they attempt to run the job, it fails with an authorization error. The team needs to ensure that the AWS Glue job has the necessary permissions to access the required AWS resources for execution.

What should the team do to resolve this issue and successfully run the Glue ETL job?

A : Enable AWS Glue Data Catalog encryption, which automatically grants necessary permissions to the ETL job.

B : Attach an IAM policy directly to the AWS Glue ETL job with the necessary permissions.

C : Create an IAM group with the appropriate permissions and add the AWS Glue service account to this group.

D : Assign an AWS Glue Service Role to the ETL job, ensuring it has the required permissions to access necessary resources.

Answer: D

Question 4

As a Data Engineer, you are tasked with setting up a batch data ingestion pipeline for a substantial financial dataset. This data is currently housed in an Amazon RDS database, stemming from various financial services and trading platforms. The dataset is complex and heterogeneous, predominantly in JSON format, and is updated nightly, typically ranging between 100-200 GB.

Your primary objective is to efficiently transfer this data from the RDS database to a data lake in AWS, ensuring reliable storage and preparing the dataset for analytical processing with minimal yet capable transformation steps due to its complexity.

Which combination of AWS services would be most appropriate?

A : Amazon AppFlow to facilitate the data transfer from Amazon RDS to Amazon S3. Afterward, utilize AWS Glue ETL for the data transformation processes.

B : Use AWS Database Migration Service (AWS DMS) to continuously replicate data from the Amazon RDS database to Amazon S3. Then, employ AWS Lambda for performing the necessary data transformations.

C : Configure AWS DataSync to transfer the JSON data nightly from the RDS database to Amazon S3. Subsequently, use AWS Glue ETL service to perform the necessary data transformations.

D : Use AWS Database Migration Service (AWS DMS) to continuously replicate data to Amazon S3. Configure an AWS Glue Crawler to update the schema in the Glue Data Catalog, and use Amazon Glue ETL for transformation jobs.

Answer: D

Question 5

A mobile app tracks user activity data, which is continuously streamed to Amazon Kinesis Data Streams. The app requires a solution to process this data in real-time and update user profiles stored in Amazon DynamoDB based on the activity data.

What combination of AWS services should be used for real-time processing of the stream and updating the user profiles in DynamoDB?

A : Use AWS Lambda to process data from Kinesis Data Streams and update records in Amazon DynamoDB.

B : Configure Amazon EMR to handle stream processing and update DynamoDB with batch jobs.

C : Deploy Amazon EC2 instances to consume and process the stream, then write to DynamoDB.

D : Use AWS Glue to extract and transform streaming data, and load into DynamoDB.

Answer: A

Page: 1 / 89

Total 441 Questions | Updated On: Jul 16, 2024

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