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Amazon AWS Certified Big Data - Specialty BDS-C00 Exam

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Vendor: Amazon
Exam Name: AWS Certified Big Data - Specialty
Registration Code: BDS-C00
Related Certification: Amazon Specialty Certification
Exam Audience: AWS Big Data Analysts,

Total Questions

264

Last Updated

19-05-2026

Exam Duration

170 MINUTES

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Question: 1

A customers needs to capture all client connection information from their load balancer every five minutes. The company wants to use data for analyzing traffic patterns and troubleshooting their applications. Which of the following options meets the customer requirements?

Question: 2

An administrator receives about 100 files per hour into Amazon S3 and will be loading the files into Amazon Redshift. Customers who analyze the data within Redshift gain significant value when they receive data as quickly as possible. The customers have agreed to a maximum loading interval of 5 minutes. Which loading approach should the administrator use to meet this objective?

Question: 3

You want to securely distribute credentials for your Amazon RDS instance to your fleet of web server instances. The credentials are stored in a file that is controlled by a configuration management system.

How do you securely deploy the credentials in an automated manner across the fleet of web server instances, which can number in the hundreds, while retaining the ability to roll back if needed?

Question: 4

An online retailer is using Amazon DynamoDB to store data relate to customer transactions. The items in the table contain several string attributes describing the transaction as well as a JSON attribute containing the shopping cart and other details corresponding to the transactions. Average item size is ~250KB, most of which is associated with the JSON attribute. The average generates ~3GB of data per month.

Customers access the table to display their transaction history and review transaction details as needed. Ninety percent of queries against the table are executed when building the transaction history view, with the other 10% retrieving transaction details. The table is partitioned on CustomerID and sorted on transaction data.

The client has very high read capacity provisioned for the table and experiences very even utilization, but complains about the cost of Amazon DynamoDB compared to other NoSQL solutions.

Which strategy will reduce the cost associated with the client's read queries while not degrading quality?

Question: 5

A city has been collecting data on its public bicycle share program for the past three years. The SPB dataset currently on Amazon S3. The data contains the following data points:

* Bicycle organization points

* Bicycle destination points

* Mileage between the points

* Number of bicycle slots available at the station (which is variable based on the station location)

* Number of slots available and taken at each station at a given time

The program has received additional funds to increase the number of bicycle stations, available. All data is regularly archived to Amazon Glacier.

The new bicycle station must be located to provide the most riders access to bicycles. How should this task be performed?

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