Free DAS-C01 Exam Dumps

Question 21

A central government organization is collecting events from various internal applications using Amazon Managed Streaming for Apache Kafka (Amazon MSK). The organization has configured a separate Kafka topic for each application to separate the data. For security reasons, the Kafka cluster has been configured to only allow TLS encrypted data and it encrypts the data at rest.
A recent application update showed that one of the applications was configured incorrectly, resulting in writing data to a Kafka topic that belongs to another application. This resulted in multiple errors in the analytics pipeline as data from different applications appeared on the same topic. After this incident, the organization wants to prevent applications from writing to a topic different than the one they should write to.
Which solution meets these requirements with the least amount of effort?

A. Create a different Amazon EC2 security group for each applicatio
B. Configure each security group to have access to a specific topic in the Amazon MSK cluste
C. Attach the security group to each application based on the topic that the applications should read and write to.
D. Install Kafka Connect on each application instance and configure each Kafka Connect instance to write to a specific topic only.
E. Use Kafka ACLs and configure read and write permissions for each topi
F. Use the distinguished name of the clients’ TLS certificates as the principal of the ACL.
G. Create a different Amazon EC2 security group for each applicatio
H. Create an Amazon MSK cluster and Kafka topic for each applicatio
I. Configure each security group to have access to the specific cluster.

Correct Answer:B

Question 22

A technology company is creating a dashboard that will visualize and analyze time-sensitive data. The data will come in through Amazon Kinesis Data Firehose with the butter interval set to 60 seconds. The dashboard must support near-real-time data.
Which visualization solution will meet these requirements?

A. Select Amazon Elasticsearch Service (Amazon ES) as the endpoint for Kinesis Data Firehos
B. Set up a Kibana dashboard using the data in Amazon ES with the desired analyses and visualizations.
C. Select Amazon S3 as the endpoint for Kinesis Data Firehos
D. Read data into an Amazon SageMaker Jupyter notebook and carry out the desired analyses and visualizations.
E. Select Amazon Redshift as the endpoint for Kinesis Data Firehos
F. Connect Amazon QuickSight with SPICE to Amazon Redshift to create the desired analyses and visualizations.
G. Select Amazon S3 as the endpoint for Kinesis Data Firehos
H. Use AWS Glue to catalog the data and Amazon Athena to query i
I. Connect Amazon QuickSight with SPICE to Athena to create the desired analyses and visualizations.

Correct Answer:A

Question 23

A transport company wants to track vehicular movements by capturing geolocation records. The records are 10 B in size and up to 10,000 records are captured each second. Data transmission delays of a few minutes are acceptable, considering unreliable network conditions. The transport company decided to use Amazon Kinesis Data Streams to ingest the data. The company is looking for a reliable mechanism to send data to Kinesis Data Streams while maximizing the throughput efficiency of the Kinesis shards.
Which solution will meet the company’s requirements?

A. Kinesis Agent
B. Kinesis Producer Library (KPL)
C. Kinesis Data Firehose
D. Kinesis SDK

Correct Answer:B

Question 24

A company developed a new elections reporting website that uses Amazon Kinesis Data Firehose to deliver full logs from AWS WAF to an Amazon S3 bucket. The company is now seeking a low-cost option to perform this infrequent data analysis with visualizations of logs in a way that requires minimal development effort.
Which solution meets these requirements?

A. Use an AWS Glue crawler to create and update a table in the Glue data catalog from the log
B. Use Athena to perform ad-hoc analyses and use Amazon QuickSight to develop data visualizations.
C. Create a second Kinesis Data Firehose delivery stream to deliver the log files to Amazon Elasticsearch Service (Amazon ES). Use Amazon ES to perform text-based searches of the logs for ad-hoc analyses and use Kibana for data visualizations.
D. Create an AWS Lambda function to convert the logs into .csv forma
E. Then add the function to the Kinesis Data Firehose transformation configuratio
F. Use Amazon Redshift to perform ad-hoc analyses of the logs using SQL queries and use Amazon QuickSight to develop data visualizations.
G. Create an Amazon EMR cluster and use Amazon S3 as the data sourc
H. Create an Apache Spark job to perform ad-hoc analyses and use Amazon QuickSight to develop data visualizations.

Correct Answer:A
https://aws.amazon.com/blogs/big-data/analyzing-aws-waf-logs-with-amazon-es-amazon-athena-and-amazon-qu

Question 25

A company’s data analyst needs to ensure that queries executed in Amazon Athena cannot scan more than a prescribed amount of data for cost control purposes. Queries that exceed the prescribed threshold must be canceled immediately.
What should the data analyst do to achieve this?

A. Configure Athena to invoke an AWS Lambda function that terminates queries when the prescribed threshold is crossed.
B. For each workgroup, set the control limit for each query to the prescribed threshold.
C. Enforce the prescribed threshold on all Amazon S3 bucket policies
D. For each workgroup, set the workgroup-wide data usage control limit to the prescribed threshold.

Correct Answer:B
https://docs.aws.amazon.com/athena/latest/ug/manage-queries-control-costs-with-workgroups.html