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The DAS-C01 certification is intended for data analysts, data scientists, and IT professionals who specialize in data analytics. AWS Certified Data Analytics - Specialty (DAS-C01) Exam certification is ideal for professionals who work with large data sets and need to analyze and visualize data in real-time. It is also suitable for those who want to enhance their skills and knowledge in the field of data analytics and stay up-to-date with the latest technologies and best practices.

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The benefit of obtaining the AWS Certified Data Analytics - Specialty (DAS-C01) Professional Exam Certification

This certification is an industry-recognized credential from AWS that verifies candidates' abilities in AWS data lakes and analytics services. When it comes to employment, this certification is a career game-changer that will advance you closer to achieving your dream profession.

Amazon AWS Certified Data Analytics - Specialty (DAS-C01) Exam Sample Questions (Q185-Q190):

NEW QUESTION # 185
A retail company has 15 stores across 6 cities in the United States. Once a month, the sales team requests a visualization in Amazon QuickSight that provides the ability to easily identify revenue trends across cities and stores. The visualization also helps identify outliers that need to be examined with further analysis.
Which visual type in QuickSight meets the sales team's requirements?

* A. Line chart
* B. Heat map
* C. Tree map
* D. Geospatial chart
Answer: D

NEW QUESTION # 186
A media company has been performing analytics on log data generated by its applications. There has been a recent increase in the number of concurrent analytics jobs running, and the overall performance of existing jobs is decreasing as the number of new jobs is increasing. The partitioned data is stored in Amazon S3 One Zone-Infrequent Access (S3 One Zone-IA) and the analytic processing is performed on Amazon EMR clusters using the EMR File System (EMRFS) with consistent view enabled. A data analyst has determined that it is taking longer for the EMR task nodes to list objects in Amazon S3.
Which action would MOST likely increase the performance of accessing log data in Amazon S3?

* A. Redeploy the EMR clusters that are running slowly to a different Availability Zone.
* B. Use a lifecycle policy to change the S3 storage class to S3 Standard for the log data.
* C. Increase the read capacity units (RCUs) for the shared Amazon DynamoDB table.
* D. Use a hash function to create a random string and add that to the beginning of the object prefixes when storing the log data in Amazon S3.
Answer: C

Explanation:
https://docs.aws.amazon.com/emr/latest/ManagementGuide/emrfs-metadata.html

NEW QUESTION # 187
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 Data Firehose
* B. Kinesis Producer Library (KPL)
* C. Kinesis SDK
* D. Kinesis Agent
Answer: B

NEW QUESTION # 188
A market data company aggregates external data sources to create a detailed view of product consumption in different countries. The company wants to sell this data to external parties through a subscription. To achieve this goal, the company needs to make its data securely available to external parties who are also AWS users.
What should the company do to meet these requirements with the LEAST operational overhead?

* A. Upload the data to AWS Data Exchange for storage. Share the data by using the AWS Data Exchange sharing wizard.
* B. Store the data in Amazon S3. Share the data by using S3 bucket ACLs.
* C. Upload the data to AWS Data Exchange for storage. Share the data by using presigned URLs for security.
* D. Store the data in Amazon S3. Share the data by using presigned URLs for security.
Answer: D

NEW QUESTION # 189
A company has several Amazon EC2 instances sitting behind an Application Load Balancer (AL emoticon

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