BDS-C00 Exam Details

  • Exam Code
    :BDS-C00
  • Exam Name
    :AWS Certified Big Data - Speciality (BDS-C00)
  • Certification
    :Amazon Certifications
  • Vendor
    :Amazon
  • Total Questions
    :264 Q&As
  • Last Updated
    :May 25, 2026

Amazon BDS-C00 Online Questions & Answers

  • Question 121:

    A user wants to make so that whenever the CPU utilization of the AWS EC2 instance is above 90%, the redlight of his bedroom turns on. Which of the below mentioned AWS services is helpful for this purpose?

    A. AWS CloudWatch + AWS SES
    B. AWS CloudWatch + AWS SNS
    C. It is not possible to configure the light with the AWS infrastructure services
    D. AWS CloudWatch and a dedicated software turning on the light

  • Question 122:

    Typically, you want your application to check whether a request generated an error before you spend any time processing results. The easiest way to find out if an error occurred is to look for an __________ node in the response from the Amazon RDS API.

    A. Incorrect
    B. Error
    C. FALSE

  • Question 123:

    An organization is currently using an Amazon EMR long-running cluster with the latest Amazon EMR release for analytic jobs and is storing data as external tables on Amazon S3.

    The company needs to launch multiple transient EMR clusters to access the same tables concurrently, but the metadata about the Amazon S3 external tables are defined and stored on the long-running cluster.

    Which solution will expose the Hive metastore with the LEAST operational effort?

    A. Export Hive metastore information to Amazon DynamoDB hive-site classification to point to the Amazon DynamoDB table.
    B. Export Hive metastore information to a MySQL table on Amazon RDS and configure the Amazon EMR hive-site classification to point to the Amazon RDS database.
    C. Launch an Amazon EC2 instance, install and configure Apache Derby, and export the Hive metastore information to derby.
    D. Create and configure an AWS Glue Data Catalog as a Hive metastore for Amazon EMR.

  • Question 124:

    A company hosts a portfolio of e-commerce websites across the Oregon, N. Virginia, Ireland, and Sydney AWS regions. Each site keeps log files that capture user behavior. The company has built an application that generates batches of product recommendations with collaborative filtering in Oregon. Oregon was selected because the flagship site is hosted there and provides the largest collection of data to train machine learning models against. The other regions do NOT have enough historic data to train accurate machine learning models.

    Which set of data processing steps improves recommendations for each region?

    A. Use the e-commerce application in Oregon to write replica log files in each other region.
    B. Use Amazon S3 bucket replication to consolidate log entries and build a single model in Oregon.
    C. Use Kinesis as a buffer for web logs and replicate logs to the Kinesis stream of a neighboring region.
    D. Use the CloudWatch Logs agent to consolidate logs into a single CloudWatch Logs group.

  • Question 125:

    Does AWS Direct Connect allow you access to all Availabilities Zones within a Region?

    A. Depends on the type of connection
    B. No
    C. Yes
    D. Only when there's just one availability zone in a region. If there are more than one, only one availability zone can be accessed directly.

  • Question 126:

    An organization needs to store sensitive information on Amazon S3 and process it through Amazon EMR. Data must be encrypted on Amazon S3 and Amazon EMR at rest and in transit. Using Thrift Server, the Data Analysis team users HIVE to interact with this data. The organization would like to grant access to only specific databases and tables, giving permission only to the SELECT statement.

    Which solution will protect the data and limit user access to the SELECT statement on a specific portion of data?

    A. Configure Transparent Data Encryption on Amazon EMR. Create an Amazon EC2 instance and install Apache Ranger. Configure the authorization on the cluster to use Apache Ranger.
    B. Configure data encryption at rest for EMR File System (EMRFS) on Amazon S3. Configure data encryption in transit for traffic between Amazon S3 and EMRFS. Configure storage and SQL base authorization on HiveServer2.
    C. Use AWS KMS for encryption of data. Configure and attach multiple roles with different permissions based on the different user needs.
    D. Configure Security Group on Amazon EMR. Create an Amazon VPC endpoint for Amazon S3. Configure HiveServer2 to use Kerberos authentication on the cluster.

  • Question 127:

    Is decreasing the storage size of a DB Instance permitted?

    A. Depends on the RDMS used
    B. Yes C. No

  • Question 128:

    A data engineer in a manufacturing company is designing a data processing platform that receives a large volume of unstructured data. The data engineer must populate a well-structured star schema in Amazon Redshift. What is the most efficient architecture strategy for this purpose?

    A. Transform the unstructured data using Amazon EMR and generate CSV data. COPY the CSV data into the analysis schema within Redshift.
    B. Load the unstructured data into Redshift, and use string parsing functions to extract structured data for inserting into the analysis schema.
    C. When the data is saved to Amazon S3, use S3 Event Notifications and AWS Lambda to transform the file contents. Insert the data into the analysis schema on Redshift.
    D. Normalize the data using an AWS Marketplace ETL tool, persist the results to Amazon S3, and use AWS Lambda to INSERT the data into Redshift.

  • Question 129:

    When you put objects in Amazon 53, what is the indication that an object was successfully stored?

    A. A HTTP 200 result code and MD5 checksum, taken together, indicate that the operation was successful
    B. A success code is inserted into the S3 object metadata
    C. Amazon S3 is engineered for 99.999999999% durability. Therefore there is no need to confirm that data was inserted.
    D. Each S3 account has a special bucket named_ s3_logs. Success codes are written to this bucket with a timestamp and checksum

  • Question 130:

    An organization has added a clickstream to their website to analyze traffic. The website is sending each page request with the PutRecord API call to an Amazon Kinesis stream by using the page name as the partition key. During peak spikes in website traffic, a support engineer notices many ProvisionedThroughputExcededException events in the application logs.

    What should be done to resolve the issue in the MOST cost-effective way?

    A. Create multiple Amazon Kinesis streams for page requests to increase the concurrency of the clickstream.
    B. Increase the number of shards on the Kinesis stream to allow for more throughput to meet the peak spikes in traffic.
    C. Modify the application to use on the Kinesis Producer Library to aggregate requests before sending them to the Kinesis stream.
    D. Attach more consumers to the Kinesis stream to process records in parallel, improving the performance on the stream.

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