Free Access Snowflake.DEA-C01.v2026-09-04.q215 Practice Test (Page 11)

Question 46

A company generates reports from 30 tables in an Amazon Redshift data warehouse. The data source is an operational Amazon Aurora MySQL database that contains 100 tables. Currently, the company refreshes all data from Aurora to Amazon Redshift every hour, which causes delays in report generation. Which combination of steps will meet these requirements with the LEAST operational overhead? (Choose two.)

A.Use AWS Database Migration Service (AWS DMS) to create a replication task. Select only the required tables.

B.Create a database in Amazon Redshift that uses the integration.

C.Create a zero-ETL integration in Amazon Aurora. Select only the required tables.

D.Use query editor v2 in Amazon Redshift to access the data in Aurora.

E.Create an AWS Glue job to transfer each required table. Run an AWS Glue workflow to initiate the jobs every 5 minutes.

Question 47

A data engineer needs to use AWS Step Functions to design an orchestration workflow. The workflow must parallel process a large collection of data files and apply a specific transformation to each file.
Which Step Functions state should the data engineer use to meet these requirements?

A.Parallel state

B.Choice state

C.Map state

D.Wait state

Question 48

Which of the following statements is/are incorrect regarding Fail-safe data recovery?

A.Short-lived tables (i.e. <1 day), such as ETL work tables, can be defined as transient to eliminate Fail-safe costs.

B.Data stored in temporary tables is not recoverable after the table is dropped as they do not have fail-safe.

C.Historical data in transient tables can be recovered by Snowflake due to Operation fail-ure after the Time Travel retention period ends using Fail-safe.

D.Long-lived tables, such as fact tables, should always be defined as permanent to ensure they are fully protected by Fail-safe.

E.If downtime and the time required to reload lost data are factors, permanent tables, even with their added Fail-safe costs, may offer a better overall solution than transient tables.

Question 49

A company has an Amazon S3 based data lake. The data lake contains datasets that belong to multiple departments. The data lake ingests millions of customer records each day.
A data engineer needs to design an access and storage solution that allows departments to access only the subset of the company's dataset that each department requires. The solution must follow the principle of least privilege.
Which solution will meet these requirements with the LEAST operational effort?

A.Define IAM policies and IAM roles for each department. Specify the S3 access paths from the data lake that each team can access.

B.Set up Amazon Redshift and Amazon Redshift Spectrum as the primary entry points for the data lake. Define an IAM role that Amazon Redshift can assume. Configure the IAM role to grant access to the data that is in Amazon S3.

C.Set up AWS Lake Formation. Assign LF-Tags to AWS Glue Data Catalog resources. Enable Lake Formation tag-based access control (LF-TBAC).

D.Deploy an Amazon RDS for PostgreSQL database that has the aws_s3 extension installed.Configure AWS Step Functions events to invoke an AWS Lambda function to sync the data lake with the database.

Question 50

How Data Engineer can do Monitoring of Files which are Staged Internally during Continuous data pipelines loading process? [Select all that apply]

A.She Can Monitor the files using Metadata maintained by Snowflake i.e. file-name,last_modified date etc.

B.Snowflake retains historical data for COPY INTO commands executed within the pre-vious 14 days.

C.She can Monitor the status of each COPY INTO <table> command on the History tab page of the classic web interface.

D.She can use the DATA_LOAD_HISTORY Information Schema view to retrieve the history of data loaded into tables using the COPY INTO command.

E.She can use the DATA_VALIDATE function to validate the data files She have loaded and can retrieve any errors encountered during the load.

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