Most Recent Amazon BDS-C00 Exam Dumps

Prepare for the Amazon AWS Certified Big Data - Specialty exam with our extensive collection of questions and answers. These practice Q&A are updated according to the latest syllabus, providing you with the tools needed to review and test your knowledge.

QA4Exam focus on the latest syllabus and exam objectives, our practice Q&A are designed to help you identify key topics and solidify your understanding. By focusing on the core curriculum, These Questions & Answers helps you cover all the essential topics, ensuring you're well-prepared for every section of the exam. Each question comes with a detailed explanation, offering valuable insights and helping you to learn from your mistakes. Whether you're looking to assess your progress or dive deeper into complex topics, our updated Q&A will provide the support you need to confidently approach the Amazon BDS-C00 exam and achieve success.

The questions for BDS-C00 were last updated on Apr 21, 2026.

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Question No. 1

A user is running a webserver on EC2. The user wants to receive the SMS when the EC2 instance utilization is above the threshold limit. Which AWS services should the user configure in this case?

AAWS CloudWatch + AWS SES

BAWS CloudWatch + AWS SNS

CAWS CloudWatch + AWS SQS

DAWS EC2 + AWS CloudWatch

Show Answer

Correct Answer: B

Question No. 2

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.)

Ause 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.

BCreate 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.

CUse 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.

DUse 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.

Euse multiple AWS Snowball Edge devices to transfer data to Amazon S3, and use Amazon Athena to query the data.

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Correct Answer: D, E

Question No. 3

An online photo album app has a key design feature to support multiple screens (e.g, desktop, mobile phone, and tablet) with high-quality displays. Multiple versions of the image must be saved in different resolutions and layouts.

The image-processing Java program takes an average of five seconds per upload, depending on the image size and format. Each image upload captures the following image metadata: user, album, photo label, upload timestamp.

The app should support the following requirements:

Hundreds of user image uploads per second

Maximum image upload size of 10 MB

Maximum image metadata size of 1 KB

Image displayed in optimized resolution in all supported screens no later than one minute after image upload

Which strategy should be used to meet these requirements?

AWrite images and metadata to Amazon Kinesis. Use a Kinesis Client Library (KCL) application to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB.

BWrite image and metadata RDS with BLOB data type. Use AWS Data Pipeline to run the image processing and save the image output to Amazon S3 and metadata to the app repository DB.

CUpload image with metadata to Amazon S3, use Lambda function to run the image processing and save the images output to Amazon S3 and metadata to the app repository DB.

DWrite image and metadata to Amazon Kinesis. Use Amazon Elastic MapReduce (EMR) with Spark Streaming to run image processing and save the images output to Amazon S3 and metadata to app repository DB.

Show Answer

Correct Answer: C

https://aws.amazon.com/blogs/big-data/building-and-maintaining-an-amazon-s3-metadata-index-without-servers/

Question No. 4

Which of the following instance types are available as Amazon EBS backend only?

AGeneral purpose T2

BGeneral purpose M3

CCompute-optimized C4

DCompute-optimized C3

EStorage-optimized 12

Show Answer

Correct Answer: A, C

Question No. 5

Is creating a Read Replica of another Read Replica supported?

AOnly in VPC

BYes

COnly in certain regions

DNo

Show Answer

Correct Answer: D

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