DAS-C01AWS Certified Data Analytics - Specialty (DAS-C01)
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Last Updated Apr 30, 2024 Ace your exams with our consistently updated DAS-C01 exam dumps.
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A data analyst is using Amazon QuickSight for data visualization across multiple datasets generated by applications. Each application stores files within a separate Amazon S3 bucket. AWS Glue Data Catalog is used as a central catalog across all application data in Amazon S3.
A new application stores its data within a separate S3 bucket. After updating the catalog to include the new application data source, the data analyst created a new Amazon QuickSight data source from an Amazon Athena table, but the import into SPICE failed.
How should the data analyst resolve the issue?
A. Edit the permissions for the AWS Glue Data Catalog from within the Amazon QuickSight console.
B. Edit the permissions for the new S3 bucket from within the Amazon QuickSight console.
C. Edit the permissions for the AWS Glue Data Catalog from within the AWS Glue console.
D. Edit the permissions for the new S3 bucket from within the S3 console.
An IoT company wants to release a new device that will collect data to track overnight sleep on an intelligent mattress. Sensors will send data that will be uploaded to an Amazon S3 bucket. Each mattress generates about 2 MB of data each night.
An application must process the data and summarize the data for each user. The application must make the results available as soon as possible. Every invocation of the application will require about 1 GB of memory and will finish running within 30 seconds.
Which solution will run the application MOST cost-effectively?
A. AWS Lambda with a Python script
B. AWS Glue with a Scala job
C. Amazon EMR with an Apache Spark script
D. AWS Glue with a PySpark job
A financial services company hosts its data warehouse on a Hadoop cluster located in an on-premises data center. The data is 300 TB in size and grows by 1 TB each day. The data is generated in real time from the company's trading system. The raw data is transformed at the end of the trading day using a custom tool running on the Hadoop cluster.
The company is migrating its data warehouse to AWS using a managed data warehouse product provided by a third party that can ingest data from Amazon S3. The company has already established a 10 Gbps connection with an AWS Region using AWS Direct Connect. The company is required by its security and regulatory compliance policies to not transfer data over the public internet. The company wants to minimize changes to its custom tool for data transformation. The company also plans to eliminate the on-premises Hadoop cluster after the migration.
Which solution MOST cost-effectively meets these requirements?
A. Create a VPC endpoint for Amazon S3. Run a one-time copy job using the DistCp tool to copy existing files from Hadoop to a target S3 bucket over the VPC endpoint Schedule a nightly DistCp job on the Hadoop cluster to copy the incremental files produced by the custom tool to the target S3 bucket
B. Create a VPC endpoint for Amazon S3. Run a one-time copy job using the DistCp tool to copy existing files from Hadoop to a target S3 bucket over the VPC endpoint. Schedule a nightly job on the trading system servers that produces raw data to copy the incremental raw files to the target S3 bucket. Run the data transformation tool on a transient Amazon EMR cluster to output files to Amazon S3.
C. Create a VPC endpoint for Amazon S3. Run a one-time copy job using the DistCp tool to copy existing files from Hadoop to a target S3 bucket over the VPC endpoint. Set up an Amazon Kinesis data stream to ingest raw data from the trading system in real time. Use Amazon Kinesis Data Analytics to transform the raw data and output files to Amazon S3.
D. Complete a one-time transfer of the data using AWS Snowball Edge devices transferring to a target S3 bucket. Schedule a nightly job on the trading system servers that produces raw data to copy the incremental raw files to the target S3 bucket Run the data transformation tool on a transient Amazon EMR cluster to output files to Amazon S3.
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Amazon DAS-C01 exam official information: This credential helps organizations identify and develop talent with critical skills for implementing cloud initiatives. Earning AWS Certified Data Analytics – Specialty validates expertise in using AWS data lakes and analytics services to get insights from data.
