Become Amazon Certified with updated DAS-C01 exam questions and correct answers
A marketing company has an application that stores event data in an Amazon RDS database. The company is
replicating this data to Amazon Redshift for reporting and
business intelligence (BI) purposes. New event data is continuously generated and ingested into the RDS
database throughout the day and captured by a change data
capture (CDC) replication task in AWS Database Migration Service (AWS DMS). The company requires that
the new data be replicated to Amazon Redshift in near-real
time.
Which solution meets these requirements?
A company has a marketing department and a finance department. The departments are storing data in Amazon S3 in their own AWS accounts in AWS Organizations. Both departments use AWS Lake Formation to catalog and secure their dat
a. The departments have some databases and tables that share common names.
The marketing department needs to securely access some tables from the finance department.
Which two steps are required for this process? (Choose two.)
A company leverages Amazon Athena for ad-hoc queries against data stored in Amazon S3. The company wants to implement additional controls to separate query execution and query history among users, teams, or applications running in the same AWS account to comply with internal security policies.
Which solution meets these requirements?
A company ingests a large set of sensor data in nested JSON format from different sources and stores it in an
Amazon S3 bucket. The sensor data must be joined with performance data currently stored in an Amazon Redshift cluster. A business analyst with basic SQL skills must build dashboards and analyze this data in Amazon QuickSight.
A data engineer needs to build a solution to prepare the data for use by the business analyst. The data engineer
does not know the structure of the JSON file. The company requires a solution with the least possible
implementation effort.
Which combination of steps will create a solution that meets these requirements? (Select THREE.)
A company has an application that ingests streaming dat
a. The company needs to analyze this stream over a 5-minute timeframe to evaluate the stream for anomalies with Random Cut Forest (RCF) and summarize the current count of status codes. The source and summarized data should be persisted for future use.
Which approach would enable the desired outcome while keeping data persistence costs low?
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