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The dashboards were created from .csv files uploaded to Amazon S3. The team is now planning to share the dashboards with the respective external product owners by creating individual users in Amazon QuickSight. For compliance and governance reasons, restricting access is a key requirement. The product owners should view only their respective product analysis in the dashboard reports.Which approach should the data analytics team take to allow product owners to view only their products in the dashboard?<br>A. Create a manifest file with row-level security.<br>B. Separate the data by product and use IAM policies for authorization.<br>C. Separate the data by product and use S3 bucket policies for authorization.<br>D. Create dataset rules with row-level security.<br>Answer: B<br> <br>NEW QUESTION 55 An airline has .csv-formatted data stored in Amazon S3 with an AWS Glue Data Catalog. 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Perform the join with Apache Hive.<br>Answer: C<br>Explanation:Explanationhttps://docs.aws.amazon.com/redshift/latest/dg/c-spectrum-external-tables.html<br> <br>NEW QUESTION 56 A company is building a data lake and needs to ingest data from a relational database that has time-series data.The company wants to use managed services to accomplish this. The process needs to be scheduled daily and bring incremental data only from the source into Amazon S3.What is the MOST cost-effective approach to meet these requirements?<br>A. Use AWS Glue to connect to the data source using JDBC Drivers. Store the last updated key in an Amazon DynamoDB table and ingest the data using the updated key as a filter.<br>B. Use AWS Glue to connect to the data source using JDBC Drivers and ingest the full data. Use AWS DataSync to ensure the delta only is written into Amazon S3.<br>C. Use AWS Glue to connect to the data source using JDBC Drivers and ingest the entire dataset. Use appropriate Apache Spark libraries to compare the dataset, and find the delta.<br>D. Use AWS Glue to connect to the data source using JDBC Drivers. Ingest incremental records only using job bookmarks.<br>Answer: D<br>Explanation:Explanationhttps://docs.aws.amazon.com/glue/latest/dg/monitor-continuations.html<br> <br>NEW QUESTION 57 An online retail company with millions of users around the globe wants to improve its ecommerce analytics capabilities. Currently, clickstream data is uploaded directly to Amazon S3 as compressed files. Several times each day, an application running on Amazon EC2 processes the data and makes search options and reports available for visualization by editors and marketers. The company wants to make website clicks and aggregated data available to editors and marketers in minutes to enable them to connect with users more effectively.Which options will help meet these requirements in the MOST efficient way? (Choose two.)<br>A. Use Kibana to aggregate, filter, and visualize the data stored in Amazon Elasticsearch Service. Refresh content performance dashboards in near-real time.<br>B. Upload clickstream records to Amazon S3 as compressed files. Then use AWS Lambda to send data to Amazon Elasticsearch Service from Amazon S3.<br>C. Upload clickstream records from Amazon S3 to Amazon Kinesis Data Streams and use a Kinesis Data Streams consumer to send records to Amazon Elasticsearch Service.<br>D. Use Amazon Kinesis Data Firehose to upload compressed and batched clickstream records to Amazon Elasticsearch Service.<br>E. Use Amazon Elasticsearch Service deployed on Amazon EC2 to aggregate, filter, and process the data.Refresh content performance dashboards in near-real time.<br>Answer: A,D<br> <br>NEW QUESTION 58 A retail company's data analytics team recently created multiple product sales analysis dashboards for the average selling price per product using Amazon QuickSight. The dashboards were created from .csv files uploaded to Amazon S3. The team is now planning to share the dashboards with the respective external product owners by creating individual users in Amazon QuickSight. For compliance and governance reasons, restricting access is a key requirement. The product owners should view only their respective product analysis in the dashboard reports.Which approach should the data analytics team take to allow product owners to view only their products in the dashboard?<br>A. Create dataset rules with row-level security.<br>B. Create a manifest file with row-level security.<br>C. Separate the data by product and use S3 bucket policies for authorization.<br>D. Separate the data by product and use IAM policies for authorization.<br>Answer: A<br>Explanation:https://docs.aws.amazon.com/quicksight/latest/user/restrict-access-to-a-data-set-using-row-level-security.html<br> <br>NEW QUESTION 59......<br>Tags: Test DAS-C01 Price,DAS-C01 New Question,Reliable DAS-C01 Test Tips,DAS-C01 Test Dumps.zip,Exam DAS-C01 Collection Pdf,DAS-C01 Hot Questions,DAS-C01 Exam Revision Plan,DAS-C01 Interactive Questions,DAS-C01 Exam Simulations,DAS-C01 Exam Tutorials<br>
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