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 241:

    A clinical trial will rely on medical sensors to remotely assess patient health. Each physician who participates in the trial requires visual reports each morning. The reports are built from aggregations of all the sensor data taken each minute. What is the most cost-effective solution for creating this visualization each day?

    A. Use Kinesis Aggregators Library to generate reports for reviewing the patient sensor data and generate a QuickSight visualization on the new data each morning for the physician to review.
    B. Use a transient EMR cluster that shuts down after use to aggregate the sensor data each night and generate a QuickSight visualization on the new data each morning for the physician to review.
    C. Use Spark streaming on EMR to aggregate the patient sensor data in every 15 minutes and generate a QuickSight visualization on the new data each morning for the physician to review.
    D. Use an EMR cluster to aggregate the patient sensor data each night and provide Zeppelin notebooks that look at the new data residing on the cluster each morning for the physician to review.

  • Question 242:

    An organization is developing a mobile social application and needs to collect logs from all devices on which it is installed. The organization is evaluating the Amazon Kinesis Data Streams to push logs and Amazon EMR to process data. They want to store data on HDFS using the default replication factor to replicate data among the cluster, but they are concerned about the durability of the data. Currently, they are producing 300 GB of raw data daily, with additional spikes during special events. They will need to scale out the Amazon EMR cluster to match the increase in streamed data.

    Which solution prevents data loss and matches compute demand?

    A. Use multiple Amazon EBS volumes on Amazon EMR to store processed data and scale out the Amazon EMR cluster as needed.
    B. Use the EMR File System and Amazon S3 to store processed data and scale out the Amazon EMR cluster as needed.
    C. Use Amazon DynamoDB to store processed data and scale out the Amazon EMR cluster as needed.
    D. use Amazon Kinesis Data Firehose and, instead of using Amazon EMR, stream logs directly into Amazon Elasticsearch Service.

  • Question 243:

    Which of the following requires a custom cloudwatch metric to monitor?

    A. Memory utilization of an EC2 instance
    B. CPU utilization of an EC2 instance
    C. Disk usage activity of an EC2 instance
    D. Data transfer of an EC2 instance

  • Question 244:

    A company with a support organization needs support engineers to be able to search historic cases to provide fast responses on new issues raised. The company has forwarded all support messages into an Amazon Kinesis Stream. This

    meets a company objective of using only managed services to reduce operational overhead.

    The company needs an appropriate architecture that allows support engineers to search on historic cases and find similar issues and their associated responses.

    Which AWS Lambda action is most appropriate?

    A. Ingest and index the content into an Amazon Elasticsearch domain.
    B. Stem and tokenize the input and store the results into Amazon ElastiCache.
    C. Write data as JSON into Amazon DynamoDB with primary and secondary indexes.
    D. Aggregate feedback in Amazon S3 using a columnar format with partitioning.

  • Question 245:

    It is advised that you watch the Amazon CloudWatch "_____" metric (available via the AWS Management Console or Amazon Cloud Watch APIs) carefully and recreate the Read Replica should it fall behind due to replication errors.

    A. Write Lag
    B. Read Replica
    C. Replica Lag
    D. Single Replica

  • Question 246:

    Without _____, you must either create multiple AWS accounts-each with its own billing and subscriptions to AWS products-or your employees must share the security credentials of a single AWS account.

    A. Amazon RDS
    B. Amazon Glacier
    C. Amazon EMR
    D. Amazon IAM

  • Question 247:

    A new algorithm has been written in Python to identify SPAM e-mails. The algorithm analyzes the free text contained within a sample set of 1 million e-mails stored on Amazon S3. The algorithm must be scaled across a production dataset of

    5 PB, which also resides in Amazon S3 storage.

    Which AWS service strategy is best for this use case?

    A. Copy the data into Amazon ElastiCache to perform text analysis on the in-memory data and export the results of the model into Amazon Machine Learning.
    B. Use Amazon EMR to parallelize the text analysis tasks across the cluster using a streaming program step.
    C. Use Amazon Elasticsearch Service to store the text and then use the Python Elasticsearch Client to run analysis against the text index.
    D. Initiate a Python job from AWS Data Pipeline to run directly against the Amazon S3 text files.

  • Question 248:

    You are designing a web application that stores static assets in an Amazon Simple Storage

    Service (S3) bucket. You expect this bucket to immediately receive over 150 PUT requests per second. What should you do to ensure optimal performance?

    A. Use multi-part upload.
    B. Add a random prefix to the key names.
    C. Amazon S3 will automatically manage performance at this scale.
    D. Use a predictable naming scheme, such as sequential numbers or date time sequences, in the key names

  • Question 249:

    Your company operates a website for promoters to sell tickets for entertainment events. You are using a load balancer in front of an Auto Scaling group of web server. Promotion of popular events can cause surges of websites visitors. During scaling-out at theses times, newly launched instances are unable to complete configuration quickly enough, leading to user disappointment.

    What option should you choose to improve scaling yet minimize costs? Choose 2 answers

    A. Create an AMI with the application pre-configured. Create a new Auto Scaling launch configuration using this new AMI, and configure the Auto Scaling group to launch with this AMI
    B. Use Auto Scaling pre-warming to launch instances before they are required. Configure pre- warming to use the CPU trend CloudWatch metric for the group
    C. Publish a custom CloudWatch metric from your application on the number of tickets sold, and create an Auto Scaling policy based on this
    D. Using the history of past scaling events for similar event sales to predict future scaling requirements. Use the Auto Scaling scheduled scaling feature to vary the size of the fleet
    E. Configure an Amazon S3 bucket for website hosting. Upload into the bucket an HTML holding page with its `x-amz-website-redirect-location' metadata property set to the load balancer endpoint. Configure Elastic Load Balancing to redirect to the holding page when the load on web servers is above a certain level

  • Question 250:

    A user has created a launch configuration for Auto Scaling where CloudWatch detailed monitoring is disabled. The user wants to now enable detailed monitoring. How can the user achieve this?

    A. Update the Launch config with CLI to set InstanceMonitoringDisabled = false
    B. The user should change the Auto Scaling group from the AWS console to enable detailed monitoring
    C. Update the Launch config with CLI to set InstanceMonitoring.Enabled = true
    D. Create a new Launch Config with detail monitoring enabled and update the Auto Scaling group

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