DAS-C01 RELIABLE EXAM PASS4SURE & DAS-C01 DETAILED STUDY PLAN

DAS-C01 Reliable Exam Pass4sure & DAS-C01 Detailed Study Plan

DAS-C01 Reliable Exam Pass4sure & DAS-C01 Detailed Study Plan

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Amazon AWS Certified Data Analytics - Specialty (DAS-C01) Exam Sample Questions (Q59-Q64):

NEW QUESTION # 59
An analytics team uses Amazon OpenSearch Service for an analytics API to be used by data analysts. The OpenSearch Service cluster is configured with three master nodes. The analytics team uses Amazon Managed Streaming for Apache Kafka (Amazon MSK) and a customized data pipeline to ingest and store 2 months of data in an OpenSearch Service cluster. The cluster stopped responding, which is regularly causing timeout requests. The analytics team discovers the cluster is handling too many bulk indexing requests.
Which actions would improve the performance of the OpenSearch Service cluster? (Select TWO.)

  • A. Scale out the OpenSearch Service cluster by increasing the number of nodes.
  • B. Reduce the number of API bulk requests on the OpenSearch Service cluster, but increase the size of each bulk request.
  • C. Increase the number of master nodes for the OpenSearch Service cluster.
  • D. Reduce the number of API bulk requests on the OpenSearch Service cluster and reduce the size of each bulk request.

Answer: A,D

Explanation:
Scale down the pipeline component that is used to ingest the data into the OpenSearch Service cluster.


NEW QUESTION # 60
A company using Amazon QuickSight Enterprise edition has thousands of dashboards analyses and datasets. The company struggles to manage and assign permissions for granting users access to various items within QuickSight. The company wants to make it easier to implement sharing and permissions management.
Which solution should the company implement to simplify permissions management?

  • A. Use QuickSight user management APIs to provision group permissions based on dashboard naming conventions
  • B. Use AWS 1AM resource-based policies to assign group permissions to QuickSight items
  • C. Use QuickSight folders to organize dashboards, analyses, and datasets Assign individual users permissions to these folders
  • D. Use QuickSight folders to organize dashboards analyses, and datasets Assign group permissions by using these folders.

Answer: B


NEW QUESTION # 61
An online retail company uses Amazon Redshift to store historical sales transactions. The company is required to encrypt data at rest in the clusters to comply with the Payment Card Industry Data Security Standard (PCI DSS). A corporate governance policy mandates management of encryption keys using an on-premises hardware security module (HSM).
Which solution meets these requirements?

  • A. Create a replica of the on-premises HSM in AWS CloudHSM. Launch a cluster in a VPC with the option to use CloudHSM to store keys.
  • B. Create and manage encryption keys using AWS CloudHSM Classic. Launch an Amazon Redshift cluster in a VPC with the option to use CloudHSM Classic for key management.
  • C. Create a VPC and establish a VPN connection between the VPC and the on-premises network. Create an HSM connection and client certificate for the on-premises HSM. Launch a cluster in the VPC with the option to use the on-premises HSM to store keys.
  • D. Create an HSM connection and client certificate for the on-premises HSM. Enable HSM encryption on the existing unencrypted cluster by modifying the cluster. Connect to the VPC where the Amazon Redshift cluster resides from the on-premises network using a VPN.

Answer: C


NEW QUESTION # 62
An online gaming company is using an Amazon Kinesis Data Analytics SQL application with a Kinesis data stream as its source. The source sends three non-null fields to the application: player_id, score, and us_5_digit_zip_code.
A data analyst has a .csv mapping file that maps a small number of us_5_digit_zip_code values to a territory code. The data analyst needs to include the territory code, if one exists, as an additional output of the Kinesis Data Analytics application.
How should the data analyst meet this requirement while minimizing costs?

  • A. Store the mapping file in an Amazon S3 bucket and configure the reference data column headers for the
    .csv file in the Kinesis Data Analytics application. Change the SQL query in the application to include a join to the file's S3 Amazon Resource Name (ARN), and add the territory code field to the SELECT columns.
  • B. Store the contents of the mapping file in an Amazon DynamoDB table. Preprocess the records as they arrive in the Kinesis Data Analytics application with an AWS Lambda function that fetches the mapping and supplements each record to include the territory code, if one exists. Change the SQL query in the application to include the new field in the SELECT statement.
  • C. Store the contents of the mapping file in an Amazon DynamoDB table. Change the Kinesis Data Analytics application to send its output to an AWS Lambda function that fetches the mapping and supplements each record to include the territory code, if one exists. Forward the record from the Lambda function to the original application destination.
  • D. Store the mapping file in an Amazon S3 bucket and configure it as a reference data source for the Kinesis Data Analytics application. Change the SQL query in the application to include a join to the reference table and add the territory code field to the SELECT columns.

Answer: D


NEW QUESTION # 63
A company has several Amazon EC2 instances sitting behind an Application Load Balancer (ALB) The company wants its IT Infrastructure team to analyze the IP addresses coming into the company's ALB The ALB is configured to store access logs in Amazon S3 The access logs create about 1 TB of data each day, and access to the data will be infrequent The company needs a solution that is scalable, cost-effective and has minimal maintenance requirements Which solution meets these requirements?

  • A. Copy the data into Amazon Redshift and query the data
  • B. Use Amazon Athena to query the S3 data
  • C. Use Amazon EMR and Apache Hive to query the S3 data
  • D. Use Amazon Redshift Spectrum to query the S3 data

Answer: D


NEW QUESTION # 64
......

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