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 231:

    An organization has 10,000 devices that generate 10 GB of telemetry data per day, with each record size around 10 KB. Each record has 100 fields, and one field consists of unstructured log data with a "String" data type in the English language. Some fields are required for the real-time dashboard, but all fields must be available for long-term generation.

    The organization also has 10 PB of previously cleaned and structured data, partitioned by Date, in a SAN that must be migrated to AWS within one month. Currently, the organization does not have any real-time capabilities in their solution. Because of storage limitations in the on-premises data warehouse, selective data is loaded while generating the long-term trend with ANSI SQL queries through JDBC for visualization. In addition to the one-time data loading, the organization needs a cost-effective and real-time solution.

    How can these requirements be met? (Choose two.)

    A. use AWS IoT to send data from devices to an Amazon SQS queue, create a set of workers in an Auto Scaling group and read records in batch from the queue to process and save the data. Fan out to an Amazon SNS queue attached with an AWS Lambda function to filter the request dataset and save it to Amazon Elasticsearch Service for real-time analytics.
    B. Create a Direct Connect connection between AWS and the on-premises data center and copy the data to Amazon S3 using S3 Acceleration. Use Amazon Athena to query the data.
    C. Use AWS IoT to send the data from devices to Amazon Kinesis Data Streams with the IoT rules engine. Use one Kinesis Data Firehose stream attached to a Kinesis stream to batch and stream the data partitioned by date. Use another Kinesis Firehose stream attached to the same Kinesis stream to filter out the required fields to ingest into Elasticsearch for real-time analytics.
    D. Use AWS IoT to send the data from devices to Amazon Kinesis Data Streams with the IoT rules engine. Use one Kinesis Data Firehose stream attached to a Kinesis stream to stream the data into an Amazon S3 bucket partitioned by date. Attach an AWS Lambda function with the same Kinesis stream to filter out the required fields for ingestion into Amazon DynamoDB for real-time analytics.
    E. use multiple AWS Snowball Edge devices to transfer data to Amazon S3, and use Amazon Athena to query the data.

  • Question 232:

    You have been tasked with implementing an automated data backup solution for your application servers that run on Amazon EC2 with Amazon EBS volumes. You want to use a distributed data store for your backups to avoid single points of failure and to increase the durability of the data. Daily backups should be retained for 30 days so that you can restore data within an hour.

    How can you implement this through a script that a scheduling deamon runs daily on the application servers?

    A. Write the script to call the ec2-create-volume API, tag the Amazon EBS volume with the current data time group, and copy backup data to a second Amazon EBS volume. Use the ec2-describe- volumes API to enumerate existing backup volumes. Call the ec2-delete-volume API to prune backup volumes that are tagged with a date-time group older than 30 days
    B. Write the script to call the Amazon Glacier upload archive API, and tag the backup archive with the current date-time group. Use the list vaults API to enumerate existing backup archives. Call the delete vault API to prune backup archives that are tagged with a date-time group older than 30 days
    C. Write the script to call the ec2-create-snapshot API, and tag the Amazon EBS snapshot with the current date-time group. Use the ec2-describe-snapshot API to enumerate existing Amazon EBS snapshots. Call the ec2-delete-snapshot API to prune Amazon EBs snapshots that are tagged with a date-time group older than 30 days
    D. Write the script to call the ec2-create-volume API, tag the Amazon EBS volume with the current date-time group, and use the ec2-copy-snapshot API to backup data to the new Amazon EBS volume. Use the ec2-describe-snapshot API to enumerate existing backup volumes. Call the ec2- delete-snapshot API to prune backup Amazon EBS volumes that are tagged with a date-time group older than 30 days

  • Question 233:

    You are deploying an application to collect votes for a very popular television show. Millions of users will submit votes using mobile devices. The votes must be collected into a durable, scalable, and highly available data store for real-time public tabulation. Which service should you use?

    A. Amazon DynamoDB
    B. Amazon Redshift
    C. Amazon Kinesis
    D. Amazon Simple Queue Service

  • Question 234:

    A user is planning to host a mobile game on EC2 which sends notifications to active users on either high score or the addition of new features. The user should get this notification when he is online on his mobile device. Which of the below mentioned AWS services can help achieve this functionality?

    A. AWS Simple Notification Service
    B. AWS Simple Queue Service
    C. AWS Mobile Communication Service
    D. AWS Simple Email Service

  • Question 235:

    What is the charge for the data transfer incurred in replicating data between your primary and standby?

    A. No charge. It is free.
    B. Double the standard data transfer charge
    C. Same as the standard data transfer charge
    D. Half of the standard data transfer charge

  • Question 236:

    When using the following AWS services, which should be implemented in multiple Availability Zones for high availability solutions? Choose 2 answers

    A. Amazon Simple Storage Service
    B. Amazon Elastic Load Balancing
    C. Amazon Elastic Compute Cloud
    D. Amazon Simple Notification Service
    E. Amazon DynamoDB

  • Question 237:

    There are thousands of text files on Amazon S3. The total size of the files is 1 PB. The files contain retail order information for the past 2 years. A data engineer needs to run multiple interactive queries to manipulate the data. The Data Engineer has AWS access to spin up an Amazon EMR cluster. The data engineer needs to use an application on the cluster to process this data and return the results in interactive time frame.

    Which application on the cluster should the data engineer use?

    A. Oozie
    B. Apache Pig with Tachyon
    C. Apache Hive
    D. Presto

  • Question 238:

    A company uses Amazon Redshift for its enterprise data warehouse. A new on-premises PostgreSQL OLTP DB must be integrated into the data warehouse. Each table in the PostgreSQL DB has an indexed last_modified timestamp column.

    The data warehouse has a staging layer to load source data into the data warehouse environment for further processing.

    The data lag between the source PostgreSQL DB and the Amazon Redshift staging layer should NOT exceed four hours.

    What is the most efficient technique to meet these requirements?

    A. Create a DBLINK on the source DB to connect to Amazon Redshift. Use a PostgreSQL trigger on the source table to capture the new insert/update/delete event and execute the event on the Amazon Redshift staging table.
    B. Use a PostgreSQL trigger on the source table to capture the new insert/update/delete event and write it to Amazon Kinesis Streams. Use a KCL application to execute the event on the Amazon Redshift staging table.
    C. Extract the incremental changes periodically using a SQL query. Upload the changes to multiple Amazon Simple Storage Service (S3) objects, and run the COPY command to load to the Amazon Redshift staging layer.
    D. Extract the incremental changes periodically using a SQL query. Upload the changes to a single Amazon Simple Storage Service (S3) object, and run the COPY command to load to the Amazon Redshift staging layer.

  • Question 239:

    Location of Instances are ____________

    A. Regional
    B. based on Availability Zone
    C. Global

  • Question 240:

    What does the "Server Side Encryption" option on Amazon S3 provide?

    A. It provides an encrypted virtual disk in the Cloud.
    B. It doesn't exist for Amazon S3, but only for Amazon EC2.
    C. It encrypts the files that you send to Amazon S3, on the server side.
    D. It allows to upload files using an SSL endpoint, for a secure transfer.

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