Free Data-Engineer-Associate Practice Exam Questions Online

Why Amazon Data-Engineer-Associate Practice Exam Questions?

Ready to level up your Amazon Data-Engineer-Associate exam study? Just TheExamsLab Data-Engineer-Associate practice tests free.

Data-Engineer-Associate exam questions are expertly crafted practice tests designed to simulate the real Amazon certification exam environment and help you assess your knowledge and figure out where you are lacking. From our free AWS Certified Data Engineer Associate (DEA-C01) Data-Engineer-Associate practice exam, you will feel secure in passing any question type or time limit. TheExamsLab offers the Data-Engineer-Associate exam questions 2024. Don’t settle or do it half-heartedly get the best and invest in the best what you want is what you get.

Page: 1 / 97

Total 485 Questions | Updated On: Nov 18, 2024

Add To Cart

Question 1

A medium-sized enterprise with fluctuating data analytics demands is exploring Amazon Redshift options. They are looking for a configuration that minimizes the need for active resource management, especially during unpredictable periods of high query volume. The ideal solution should adapt to changing demands while maintaining operational efficiency.

Which Redshift configuration should they consider to meet these requirements of adaptability and ease of management?

A : Choose Redshift Serverless, as it provides the flexibility to automatically adapt to changing query volumes without manual scaling.

B : Opt for Redshift with RA3 nodes, which offer scalable storage and compute capabilities, and configure auto-scaling policies to handle variable query loads.

C : Select Redshift with On-Demand pricing and set up scaling triggers based on performance metrics to manage varying loads efficiently.

D : Implement a traditional Redshift cluster with dense compute nodes, using dynamic resizing features for adapting to fluctuating workloads.

Answer: A

Question 2

A company uses Amazon S3 as a data lake. The company sets up a data warehouse by using a multi-nodeAmazon Redshift cluster. The company organizes the data files in the data lake based on the data source ofeach data file.The company loads all the data files into one table in the Redshift cluster by using a separate COPY commandfor each data file location. This approach takes a long time to load all the data files into the table. Thecompany must increase the speed of the data ingestion. The company does not want to increase the cost of theprocess.Which solution will meet these requirements?

A : Use a provisioned Amazon EMR cluster to copy all the data files into one folder. Use a COPY command to load the data into Amazon Redshift.

B : Load all the data files in parallel into Amazon Aurora. Run an AWS Glue job to load the data into Amazon Redshift.

C : Use an AWS Glue job to copy all the data files into one folder. Use a COPY command to load the data into Amazon Redshift.

D : Create a manifest file that contains the data file locations. Use a COPY command to load the data into Amazon Redshift.

Answer: D

Question 3

A data engineer wants to orchestrate a set of extract, transform, and load (ETL) jobs that run on AWS. TheETL jobs contain tasks that must run Apache Spark jobs on Amazon EMR, make API calls to Salesforce, andload data into Amazon Redshift.The ETL jobs need to handle failures and retries automatically. The data engineer needs to use Python toorchestrate the jobs.Which service will meet these requirements?

A : Amazon Managed Workflows for Apache Airflow (Amazon MWAA)

B : AWS Step Functions

C : AWS Glue

D : Amazon EventBridge

Answer: A

Question 4

Which Redshift configuration should they consider to meet these requirements of adaptability and ease of management?

A : Choose Redshift Serverless, as it provides the flexibility to automatically adapt to changing query volumes without manual scaling.

B : Opt for Redshift with RA3 nodes, which offer scalable storage and compute capabilities, and configure auto-scaling policies to handle variable query loads.

C : Select Redshift with On-Demand pricing and set up scaling triggers based on performance metrics to manage varying loads efficiently.

D : Implement a traditional Redshift cluster with dense compute nodes, using dynamic resizing features for adapting to fluctuating workloads.

Answer: A

Question 5

A data engineer needs to build an enterprise data catalog based on the company's Amazon S3 buckets andAmazon RDS databases. The data catalog must include storage format metadata for the data in the catalog.Which solution will meet these requirements with the LEAST effort?

A : Use an AWS Glue crawler to scan the S3 buckets and RDS databases and build a data catalog. Use data stewards to inspect the data and update the data catalog with the data format.

B : Use an AWS Glue crawler to build a data catalog. Use AWS Glue crawler classifiers to recognize the format of data and store the format in the catalog.

C : Use Amazon Macie to build a data catalog and to identify sensitive data elements. Collect the data format information from Macie.

D : Use scripts to scan data elements and to assign data classifications based on the format of the data.

Answer: B

Page: 1 / 97

Total 485 Questions | Updated On: Nov 18, 2024

Add To Cart