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DAS-C01 Dumps With Exact Questions and Answers

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DAS-C01 Questions and Answers

Question # 1

A company is hosting an enterprise reporting solution with Amazon Redshift. The application provides reporting capabilities to three main groups: an executive group to access financial reports, a data analyst group to run long-running ad-hoc queries, and a data engineering group to run stored procedures and ETL processes. The executive team requires queries to run with optimal performance. The data engineering team expects queries to take minutes.

Which Amazon Redshift feature meets the requirements for this task?

A.

Concurrency scaling

B.

Short query acceleration (SQA)

C.

Workload management (WLM)

D.

Materialized views

Question # 2

A company that monitors weather conditions from remote construction sites is setting up a solution to collect temperature data from the following two weather stations.

  • Station A, which has 10 sensors
  • Station B, which has five sensors

These weather stations were placed by onsite subject-matter experts.

Each sensor has a unique ID. The data collected from each sensor will be collected using Amazon Kinesis Data Streams.

Based on the total incoming and outgoing data throughput, a single Amazon Kinesis data stream with two shards is created. Two partition keys are created based on the station names. During testing, there is a bottleneck on data coming from Station A, but not from Station B. Upon review, it is confirmed that the total stream throughput is still less than the allocated Kinesis Data Streams throughput.

How can this bottleneck be resolved without increasing the overall cost and complexity of the solution, while retaining the data collection quality requirements?

A.

Increase the number of shards in Kinesis Data Streams to increase the level of parallelism.

B.

Create a separate Kinesis data stream for Station A with two shards, and stream Station A sensor data to the new stream.

C.

Modify the partition key to use the sensor ID instead of the station name.

D.

Reduce the number of sensors in Station A from 10 to 5 sensors.

Question # 3

A company is migrating its existing on-premises ETL jobs to Amazon EMR. The code consists of a series of jobs written in Java. The company needs to reduce overhead for the system administrators without changing the underlying code. Due to the sensitivity of the data, compliance requires that the company use root device volume encryption on all nodes in the cluster. Corporate standards require that environments be provisioned though AWS CloudFormation when possible.

Which solution satisfies these requirements?

A.

Install open-source Hadoop on Amazon EC2 instances with encrypted root device volumes. Configure the cluster in the CloudFormation template.

B.

Use a CloudFormation template to launch an EMR cluster. In the configuration section of the cluster, define a bootstrap action to enable TLS.

C.

Create a custom AMI with encrypted root device volumes. Configure Amazon EMR to use the custom AMI using the CustomAmild property in the CloudFormation template.

D.

Use a CloudFormation template to launch an EMR cluster. In the configuration section of the cluster, define a bootstrap action to encrypt the root device volume of every node.

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