An organization is setting up a data catalog and metadata management environment for their numerous data stores currently running on AWS. The data catalog will be used to determine the structure and other attributes of data in the data stores. The data stores are composed of Amazon RDS databases, AmazonRedshift, and CSV files residing on Amazon S3. The catalog should be populated on a scheduled basis, and minimal administration is required to manage the catalog.How can this be accomplished?
Company A operates in Country X. Company A maintains a large dataset of historical purchase orders that contains personal data of their customers in the form of full names and telephone numbers. The dataset consists of 5 text files, 1TB each. Currently the dataset resides on-premises due to legal requirements of storing personal data in-country. The research and development department needs to run a clustering algorithm on the dataset and wants to use Elastic Map Reduce service in the closest AWS region. Due to geographic distance, the minimum latency between the on-premises system and the closet AWS region is 200 ms.Which option allows Company A to do clustering in the AWS Cloud and meet the legal requirement of maintaining personal data in-country?
An organization is currently using an Amazon EMR long-running cluster with the latest Amazon EMR release for analytic jobs and is storing data as external tables on Amazon S3.The company needs to launch multiple transient EMR clusters to access the same tables concurrently, but the metadata about the Amazon S3 external tables are defined and stored on the long-running cluster.Which solution will expose the Hive metastore with the LEAST operational effort?
An administrator needs to design a strategy for the schema in a Redshift cluster. The administrator needs to determine the optimal distribution style for the tables in the Redshift schema.In which two circumstances would choosing EVEN distribution be most appropriate? (Choose two.)
An organization is using Amazon Kinesis Data Streams to collect data generated from thousands of temperature devices and is using AWS Lambda to process the data. Devices generate 10 to 12 million records every day, but Lambda is processing only around 450 thousand records. Amazon CloudWatch indicates that throttling on Lambda is not occurring.What should be done to ensure that all data is processed? (Choose two.)
An Amazon Redshift Database is encrypted using KMS. A data engineer needs to use the AWS CLI to create a KMS encrypted snapshot of the database in another AWS region.Which three steps should the data engineer take to accomplish this task? (Choose three.)
