Free Amazon AWS-DEA-C01 Exam Questions

Question 1

Files from multiple data sources arrive in an Amazon S3 bucket on a regular basis. A data engineer wants to ingest new files into Amazon Redshift in near real time when the new files arrive in the S3 bucket. Which solution will meet these requirements?

A : Use the query editor v2 to schedule a COPY command to load new files into Amazon Redshift.

B : Use the zero-ETL integration between Amazon Aurora and Amazon Redshift to load new files into Amazon Redshift.

C : Use AWS Glue job bookmarks to extract, transform, and load (ETL) load new files into Amazon Redshift.

D : Use S3 Event Notifications to invoke an AWS Lambda function that loads new files into Amazon Redshift.

Answer: D

Question 2

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 3

A data engineer has two datasets that contain sales information for multiple cities and states. One dataset is named reference, and the other dataset is named primary. The data engineer needs a solution to determine whether a specific set of values in the city and state columns of the primary dataset exactly match the same specific values in the reference dataset. The data engineer wants to use Data Quality Definition Language (DQDL) rules in an AWS Glue Data Quality job. Which rule will meet these requirements?

A : DatasetMatch "reference" "city->ref_city, state->ref_state" = 1.0

B : ReferentialIntegrity "city,state" "reference.{ref_city,ref_state}" = 1.0

C : DatasetMatch "reference" "city->ref_city, state->ref_state" = 100

D : ReferentialIntegrity "city,state" "reference.{ref_city,ref_state}" = 100

Answer: A

Question 4

A company plans to move 10 TB of multimedia content from their local servers to AWS, with a portion of the data being updated weekly. These updates must be reflected in the Amazon S3 bucket where the data will be stored. The multimedia content consists of large image and video files.

To automate and schedule these data transfers effectively, which AWS service should the company employ?

A : Use AWS Transfer for SFTP to secure and automate data transfer to S3.

B : Use AWS DataSync to automate and schedule the ongoing transfer of files to Amazon S3.

C : Set up an AWS Snowball job for periodic data transfer to Amazon S3.

D : Deploy an AWS Storage Gateway to synchronize and manage data transfers to S3.

Answer: B

Question 5

A company has as JSON file that contains personally identifiable information (PIT) data and non-PII data. The company needs to make the data available for querying and analysis. The non-PII data must be available to everyone in the company. The PII data must be available only to a limited group of employees. Which solution will meet these requirements with the LEAST operational overhead?

A : Store the JSON file in an Amazon S3 bucket. Configure AWS Glue to split the file into one file that contains the PII data and one file that contains the non-PII data. Store the output files in separate S3 buckets. Grant the required access to the buckets based on the type of user.

B : Store the JSON file in an Amazon S3 bucket. Use Amazon Macie to identify PII data and to grant access based on the type of user.

C : Store the JSON file in an Amazon S3 bucket. Catalog the file schema in AWS Lake Formation. Use Lake Formation permissions to provide access to the required data based on the type of user.

D : Create two Amazon RDS PostgreSQL databases. Load the PII data and the non-PII data into the separate databases. Grant access to the databases based on the type of user.

Answer: C