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- Exam Format: The DAS-C01 exam consists of multiple-choice and multiple-response questions.
- Exam Duration: The exam is 180 minutes long.
- Number of Questions: The exam contains approximately 65 questions.
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Your Jounrney To Pass The AWS Certified Data Anslytics - Specialty DAS-C01
Amazon AWS DAS-C01 Sample Questions
Question 1
A. Bar charts
B. Word clouds
C. Circle packing
D. Heat maps
Answer: B
Question 2
A. Use the ALTER TABLE command with the ENCODE option to update existing columnsof the Redshift tables to use LZO encoding.
B. Export data from the existing Redshift cluster to Amazon S3 by using the UNLOADcommand with the ENCRYPTED option. Create a new Redshift cluster with encryptionconfigured. Load data into the new cluster by using the COPY command.
C. Create a manual snapshot of the existing Redshift cluster. Restore the snapshot into anew Redshift cluster with encryption configured.
D. Modify the existing Redshift cluster to use AWS Key Management Service (AWS KMS)encryption. Wait for the cluster to finish resizing.
Answer: D
Question 3
A. Store datasets as files in an Amazon EMR cluster. Set the Active Directory domain forauthentication.
B. Store datasets as files in Amazon FSx for Windows File Server. Set the Active Directorydomain for authentication.
C. Store datasets as tables in a multi-node Amazon Redshift cluster. Set the ActiveDirectory domain for authentication.
D. Store datasets as global tables in Amazon DynamoDB. Build an application to integrateauthentication with the Active Directory domain.
Answer: B
Question 4
A. Store the data in an encrypted Amazon Elastic Block Store (Amazon EBS) volume.Register the Amazon EBS volume with Lake Formation.
B. Store the data in an Amazon S3 bucket by using server-side encryption with AWS KMS(SSE-KMS). Register the S3 location with Lake Formation.
C. Encrypt the data on the client side and store the encrypted data in an Amazon S3bucket. Register the S3 location with Lake Formation.
D. Store the data in an Amazon S3 Glacier Flexible Retrieval vault bucket. Register the S3Glacier Flexible Retrieval vault with Lake Formation.
Answer: B
Question 5
A. Flatten nested data and create separate files for each nested dataset.
B. Use the Athena query engine V2 and push the query filter to the source ORC file.
C. Use Apache Parquet format instead of ORC format.
D. Recreate the data partition strategy and further narrow down the data filter criteria.
Answer: B
Question 6
A. Use an Amazon Kinesis Data Firehose delivery stream to collect the data and to deliverthe data to Amazon Redshift. Create an Amazon Kinesis Data Analytics application thatuses the same delivery stream as an input source. Create a reference data source inKinesis Data Analytics to temporarily store the threshold values from Amazon S3 and tocompare the number of vehicles in a particular garage to the corresponding thresholdvalue. Configure an AWS Lambda function to publish an Amazon Simple NotificationService (Amazon SNS) notification if the number of vehicles exceeds the threshold.
B. Use an Amazon Kinesis data stream to collect the data. Use an Amazon Kinesis DataFirehose delivery stream to deliver the data to Amazon Redshift. Create another Kinesisdata stream to temporarily store the threshold values from Amazon S3. Send the deliverystream and the second data stream to Amazon Kinesis Data Analytics to compare thenumber of vehicles in a particular garage to the corresponding threshold value. Configurean AWS Lambda function to publish an Amazon Simple Notification Service (Amazon SNS)notification if the number of vehicles exceeds the threshold.
C. Use an Amazon Kinesis Data Firehose delivery stream to collect the data and to deliverthe data to Amazon Redshift. Automatically initiate an AWS Lambda function that queriesthe data in Amazon Redshift. Configure the Lambda function to compare the number ofvehicles in a particular garage to the correspondingthreshold value from Amazon S3. Configure the Lambda function to also publish an Amazon Simple Notification Service(Amazon SNS) notification if the number of vehicles exceeds the threshold.
D. Use an Amazon Kinesis Data Firehose delivery stream to collect the data and to deliverthe data to Amazon Redshift. Create an Amazon Kinesis Data Analytics application thatuses the same delivery stream as an input source. Use Kinesis Data Analytics to comparethe number of vehicles in a particular garage to the corresponding threshold value that isstored in a table as an in-application stream. Configure an AWS Lambda function as anoutput for the application to publish an Amazon Simple Queue Service (Amazon SQS)notification if the number of vehicles exceeds the threshold.
Answer: A
Question 7
A. Perform a classic resize to place the cluster in read-only mode while adding anadditional node to the cluster.
B. Enable automatic workload management.
C. Perform an elastic resize to add an additional node to the cluster.
D. Enable concurrency scaling for the Dashboard workload queue.
Answer: D
Question 8
A. Configure Athena to use S3 Select to load only the files of the data subset.
B. Create the data subset in Apache Parquet format each day by using the AthenaCREATE TABLE AS SELECT (CTAS) statement. Query the Parquet data.
C. Run a daily AWS Glue ETL job to convert the data files to Apache Parquet format and topartition the converted files. Create a periodic AWS Glue crawler to automatically crawl the partitioned data each day.
D. Create an S3 gateway endpoint. Configure VPC routing to access Amazon S3 throughthe gateway endpoint.
Answer: B,C
Question 9
A. Create an 1AM role for each department. Use AWS Lake Formation based accesscontrol to grant each 1AM role access to specific tables and columns. Use Amazon Athenato analyze the data.
B. Create an Amazon Redshift cluster for each department. Use AWS Glue to ingest intothe Redshift cluster only the tables and columns that are relevant to that department.Create Redshift database users. Grant the users access to the relevant department'sRedshift cluster. Use Amazon Redshift to analyze the data.
C. Create an 1AM role for each department. Use AWS Lake Formation tag-based accesscontrol to grant each 1AM roleaccess to only the relevant resources. Create LF-tags that are attached to tables andcolumns. Use Amazon Athena to analyze the data.
D. Create an Amazon EMR cluster for each department. Configure an 1AM service role foreach EMR cluster to access
E. relevant S3 files. For each department's users, create an 1AM role that provides accessto the relevant EMR cluster. Use Amazon EMR to analyze the data.
Answer: C
Question 10
A. Place the data sources for Australia and the US into separate SPICE capacity pools.
B. Set up an Amazon Redshift VPC security group for Australia and the US.
C. Deploy QuickSight Enterprise edition to implement row-level security (RLS) to the salestable.
D. Deploy QuickSight Enterprise edition and set up different VPC security groups forAustralia and the US.
Answer: D
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