Pass4Future also provide interactive practice exam software for preparing Amazon AWS Certified Data Analytics - Specialty (DAS-C01) Exam effectively. You are welcome to explore sample free Amazon DAS-C01 Exam questions below and also try Amazon DAS-C01 Exam practice test software.
Do you know that you can access more real Amazon DAS-C01 exam questions via Premium Access? ()
A large ecommerce company uses Amazon DynamoDB with provisioned read capacity and auto scaled write capacity to store its product catalog. The company uses Apache HiveQL statements on an Amazon EMR cluster to query the DynamoDB table. After the company announced a sale on all of its products, wait times for each query have increased. The data analyst has determined that the longer wait times are being caused by throttling when querying the table.
Which solution will solve this issue?
Answer : D
A company is creating a data lake by using AWS Lake Formation. The data that will be stored in the data lake contains sensitive customer information and must be encrypted at rest using an AWS Key Management Service (AWS KMS) customer managed key to meet regulatory requirements.
How can the company store the data in the data lake to meet these requirements?
Answer : B
An ecommerce company uses Amazon Aurora PostgreSQL to process and store live transactional data and uses Amazon Redshift for its data warehouse solution. A nightly ET L job has been implemented to update the Redshift cluster with new data from the PostgreSQL database. The business has grown rapidly and so has the size and cost of the Redshift cluster. The company's data analytics team needs to create a solution to archive historical data and only keep the most recent 12 months of data in Amazon
Redshift to reduce costs. Data analysts should also be able to run analytics queries that effectively combine data from live transactional data in PostgreSQL, current data in Redshift, and archived historical data.
Which combination of tasks will meet these requirements? (Select THREE.)
Answer : A, C, E
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: ByteslnPerSec and MessageslnPerSec.
Which level of monitoring for Amazon MSK will meet these requirements?
Answer : B
A company uses Amazon Connect to manage its contact center. The company uses Salesforce to manage its customer relationship management (CRM) dat
a. The company must build a pipeline to ingest data from Amazon Connect and Salesforce into a data lake that is built on Amazon S3.
Which solution will meet this requirement with the LEAST operational overhead?
Answer : B
