What is the Amazon BDS-C00 exam?

The Amazon BDS-C00 exam is the AWS Certified Big Data - Specialty certification exam in the Amazon Specialty category.

Who should take the AWS Certified Big Data - Specialty exam?

It is suited for candidates who work with big data solutions and want to validate their skills in collection, storage, processing, analysis, visualization, and data security.

Is the Amazon BDS-C00 exam difficult?

It can be challenging because it covers multiple big data domains and expects practical understanding, not just basic theory.

Can I pass with only braindumps?

Braindumps alone are not a complete preparation method. You should use them with other study and practice resources to build real understanding and confidence.

Do I need hands-on experience to pass?

Hands-on experience is very helpful because the exam tests practical ability and decision-making across AWS big data scenarios.

Are the QA4Exam.com dumps and practice test enough for first attempt success?

They are designed to help you prepare effectively with actual questions and answers, verified content, and exam simulation, which can strongly support first-attempt success.

What is included in the QA4Exam.com format?

QA4Exam.com offers an Exam PDF and an Online Practice Test so you can study offline and also practice in a simulated exam environment.

Can the practice test help with time management?

Yes. The Online Practice Test helps you practice pacing, manage question timing, and build confidence before the actual exam.

Amazon BDS-C00 Dumps for 2026 Exam Success

#	Exam Topics	Sub-Topics	Approximate Weightage (%)
1	Collection	Data ingestion pipelines, streaming collection, batch collection, source integration	15%
2	Storage	Data lake storage, object storage, retention strategies, storage optimization	18%
3	Processing	Distributed processing, ETL workflows, transformation jobs, scalable compute design	20%
4	Analysis	Query analysis, data exploration, reporting logic, analytical workloads	17%
5	Visualization	Dashboard design, data presentation, business reporting, visualization selection	12%
6	Data Security	Access control, encryption, secure data handling, compliance awareness	18%

Question 1

A systems engineer for a company proposes digitalization and backup of large archives for customers. The systems engineer needs to provide users with a secure storage that makes sure that data will never be tempered with once it has been uploaded. How should this be accomplished?

ACreate an Amazon Glacier Vault. Specify a ''Deny'' Vault lock policy on this vault to block
''glacier:DeleteArchive''.

BCreate an Amazon S3 bucker. Specify a ''Deny'' bucket policy on this bucket to block
''s3:DeleteObject''.

CCreate an Amazon Glacier Vault. Specify a ''Deny'' vault access policy on this Vault to block
''glacier:DeleteArchive''.

DCreate a secondary AWS containing an Amazon S3 bucket. Grant ''s3:PutObject'' to the primary account.

Correct answer: A

A Glacier 'vault access policy' is a resource based policy that you can use to manage permissions to your vault.You can modify permissions in a Vault access policy at any time. A Glacier 'vault lock policy' is vault access policy that can be locked. After you lock a vault lock policy, the policy cannot be changed. You can use a vault lock policy to enforce compliance controls. You can enforce the requirement by implementing the following vault lock policy: 'glacier:DeleteArchieve' action on the vault.

Question 2

A telecommunications company needs to predict customer churn (i.e. customers eho decide to switch a computer). The company has historic records of each customer, including monthly consumption patterns, calls to customer service, and whether the customer ultimately quit th eservice. All of this data is stored in Amazon S3. The company needs to know which customers are likely going to churn soon so that they can win back their loyalty.

What is the optimal approach to meet these requirements?

AUse the Amazon Machine Learning service to build the binary classification model based on the dataset stored in Amazon S3. The model will be used regularly to predict churn attribute for existing customers

BUse AWS QuickSight to connect it to data stored in Amazon S3 to obtain the necessary
business insight. Plot the churn trend graph to extrapolate churn likelihood for existing customer

CUse EMR to run the Hive queries to build a profile of a churning customer. Apply the profile to existing customers to determine the likelihood of churn

DUse a Redshift cluster to COPY the data from Amazon S3. Create a user Define Function in Redshift that computers the likelihood of churn

Correct answer: A

https://aws.amazon.com/blogs/machine-learning/predicting-customer-churn-with-amazon-machine-learning/

Question 3

You have been asked to use your department's existing continuous integration (CI) tool to test a three- tier web architecture defined in an AWS CloudFormation template. The tool already supports AWS APIs and can launch new AWS CloudFormation stacks after polling version control. The CI tool reports on the success of the AWS CloudFormation stack creation by using the DescribeStacks API to look for the CREATE_COMPLETE status.

The architecture tiers defined in the template consist of:

. One load balancer

. Five Amazon EC2 instances running the web application

. One multi-AZ Amazon RDS instance How would you implement this? Choose 2 answers

ADefine a WaitCondition and a WaitConditionhandle for the output of a output of a UserData command that does sanity checking of the application's post-install state

BDefine a CustomResource and write a script that runs architecture-level integration tests through the load balancer to the application and database for the state of multiple tiers

CDefine a WaitCondition and use a WaitConditionHandle that leverages the AWS SDK to run the
DescribeStacks API call until the CREATE_COMPLETE status is returned

DDefine a CustomResource that leverages the AWS SDK to run the DescribeStacks API call until the CREATE_COMPLETE status is returned

EDefine a UserDataHandle for the output of a UserData command that does sanity checking of the application's post-install state and runs integration tests on the state of multiple tiers through load balancer to the application

FDefine a UserDataHandle for the output of a CustomResource that does sanity checking of the application's post-install state

Correct answer: A, F

Question 4

An organization is designing a public web application and has a requirement that states all application users must be centrally authenticated before any operations are permitted. The organization will need to create a user table with fast data lookup for the application in which a user can read only his or her own data. All users already have an account with amazon.com.

How can these requirements be met?

ACreate an Amazon RDS Aurora table, with Amazon_ID as the primary key. The application uses amazon.com web identity federation to get a token that is used to assume an IAM role from AWS STS. Use IAM database authentication by using the rds:db-tag IAM authentication policy and GRANT Amazon RDS row-level read permission per user.

BCreate an Amazon RDS Aurora table, with Amazon_ID as the primary key for each user. The application uses amazon.com web identity federation to get a token that is used to assume an IAM role. Use IAM database authentication by using rds:db-tag IAM authentication policy and GRANT Amazon RDS row-level read permission per user.

CCreate an Amazon DynamoDB table, with Amazon_ID as the partition key. The application uses amazon.com web identity federation to get a token that is used to assume an IAM role from AWS STS in the Role, use IAM condition context key dynamodb:LeadingKeys with IAM substitution variables $ {www.amazon.com:user_id} and allow the required DynamoDB API operations in IAM JSON policy Action element for reading the records.

DCreate an Amazon DynamoDB table, with Amazon_ID as the partition key. The application uses amazon.com web identity federation to assume an IAM role from AWS STS in the Role, use IAM condition context key dynamodb:LeadingKeys with IAM substitution variables $ {www.amazon.com:user_id} and allow the required DynamoDB API operations in IAM JSON policy Action element for reading the records.

Correct answer: C

https://docs.aws.amazon.com/amazondynamodb/latest/developerguide/specifying-conditions.html

Question 5

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?

ALoad each file as it arrives because getting data into the cluster as quickly as possible is the priority.

BLoad the cluster as soon as the administrator has the same number of files as nodes in the cluster.

CLoad the cluster when the administrator has an even multiple of files relative to Cluster Slice
Count, or 5 minutes whichever comes first.

DLoad the cluster when the number files is less than the Cluster Slice Count.

Correct answer: C

BDS-C00 Exam Dumps and Practice Questions

Amazon BDS-C00 Dumps - Pass AWS Certified Big Data - Specialty Exam in 2026

Actual Amazon BDS-C00 Exam Questions

Unlock all Amazon BDS-C00 questions

How QA4Exam.com Helps You Pass

Frequently Asked Questions