AWS Certified Data Analytics - Specialty (DAS-C01): DAS-C01

A company needs a solution to control data access for the company's Amazon S3 data lake. The company expects the number of data sources in the data lake and the number of users that access the data to increase rapidly. All the data in the data lake is cataloged in an AWS Glue Data Catalog. Users access the data by using Amazon Athena and Amazon QuickSight.

A data analytics specialist must implement a solution that controls which users can ingest new data into the data lake. The solution also must restrict access to data at the column level and must provide audit capabilities.

Which solution will meet these requirements?

A. Use IAM resource-based policies to allow access to required S3 prefixes only. Use AWS CloudTrail for audit logs.

B. Use AWS Lake Formation access controls for the data in the data lake. Use AWS CloudTrail for audit logs.

C. Use IAM identity-based policies to allow access to authorized users only. Use Amazon CloudWatch for audit logs.

D. Use Athena federated queries to access the data in the data lake. Use S3 server access logs for audit logs.

A media analytics company consumes a stream of social media posts. The posts are sent to an Amazon Kinesis data stream partitioned on user_id. An AWS Lambda function retrieves the records and validates the content before loading the posts into an Amazon Elasticsearch cluster. The validation process needs to receive the posts for a given user in the order they were received. A data analyst has noticed that, during peak hours, the social media platform posts take more than an hour to appear in the Elasticsearch cluster.

What should the data analyst do reduce this latency?

A. Migrate the validation process to Amazon Kinesis Data Firehose.

B. Migrate the Lambda consumers from standard data stream iterators to an HTTP/2 stream consumer.

C. Increase the number of shards in the stream.

D. Configure multiple Lambda functions to process the stream.

An IoT company is collecting data from multiple sensors and is streaming the data to Amazon Managed Streaming for Apache Kafka (Amazon MSK). Each sensor type has its own topic, and each topic has the same number of partitions.

The company is planning to turn on more sensors. However, the company wants to evaluate which sensor types are producing the most data so that the company can scale accordingly. The company needs to know which sensor types have

the largest values for the following metrics: BytesInPerSec and MessagesInPerSec.

Which level of monitoring for Amazon MSK will meet these requirements?

A. DEFAULT level

B. PER_TOPIC_PER_BROKER level

C. PER_BROKER level

D. PER_TOPIC level