BD-S%20Sample%20Questions%20for%20Web

Sep 20, 2026

Uploaded by Liam

AWS Big Data Specialty sample exam questions covering practical scenarios across Amazon S3, Amazon Redshift, Amazon Kinesis Streams, and related services. Questions address secure access control using federation and bucket policies, optimizing Redshift COPY performance through file preparation, detecting Redshift load errors efficiently with minimal cleanup, and selecting appropriate data stores for key-value access and transaction needs. Additional items cover event recording strategies in Kinesis, building target labels for ML training using human annotation, and secure data ingestion from mobile apps into Firehose destinations.

LanguageEnglish

CategoryExam

FormatPDF

Pages5

Reading Time13 min

AccessFree to download

Sample Exam Questions

Data access and federation

Redshift COPY optimization

Redshift load error detection

Data store selection

Kinesis event recording

Amazon Machine Learning labels

Secure mobile data ingestion

Encrypted data collection architecture

AWS Big Data – Specialty Sample Exam Questions 1) A company needs to deploy a data lake solution for their data scientists in which all company data is accessible and stored in a central S3 bucket. The company segregates the data by business unit, using specific prefixes. Scientists can only access the data from their own business unit. The company needs a single sign-on identity and management solution based on Microsoft Active Directory (AD) to manage access to the data in Amazon S3 . Which method meets these requirements? A) Use AWS IAM Federation functions and specify the associated role based on the users' groups in AD. B) Create bucket policies that only allow access to the authorized prefixes based on the users' group name in Active Directory. C) Deploy the AD Synchronization service to create AWS IAM users and groups based on AD information. D) Use Amazon S3 API integration with AD to impersonate the users on access in a transparent manner. 2) An administrator has a 500-GB file in Amazon S3 . The administrator runs a nightly COPY command into a 10-node Amazon Redshift cluster. The administrator wants to prepare the data to optimize performance of the COPY command. How should the administrator prepare the data? A) Compress the file using gz compression. B) Split the file into 500 smaller files. C) Convert the file format to AVRO. D) Split the file into 10 files of equal size. 3) A customer needs to load a 550-GB data file into an Amazon Redshift cluster from Amazon S3 , using the COPY command. The input file has both known and unknown issues that will probably cause the load process to fail. The customer needs the most efficient way to detect load errors without performing any cleanup if the load process fails. Which technique should the customer use? A) Split the input file into 50-GB blocks and load them separately. B) Use COPY with NOLOAD parameter. C) Write a script to delete the data from the tables in case of errors. D) Compress the input file before running COPY. 4) An organization needs a data store to handle the following data types and access patterns: 􀁸 Key-value access pattern 􀁸 Complex SQL queries and transactions 􀁸 Consistent reads 􀁸 Fixed schema Which data store should the organization choose? A) Amazon S3 B) Amazon Kinesis C) Amazon DynamoDB D) Amazon RDS 5) A web application emits multiple types of events to Amazon Kinesis Streams for operational reporting. Critical events must be captured immediately before processing can continue, but informational events do not need to delay processing. What is the most appropriate solution to record these different types of events? © 2017, Amazon Web Services, Inc. or its affiliates. All rights [reserved | aws.amazon.com](reserved | aws.amazon.com) 1 A) Log all events using the Kinesis Producer Library. B) Log critical events using the Kinesis Producer Library , and log informational events using the PutRecords API method. C) Log critical events using the PutRecords API method , and log informational events using the Kinesis Producer Library. D) Log all events using the PutRecords API method. 6) An administrator decides to use the Amazon Machine Learning service to classify social media posts that mention your company into two categories: posts that require a response and posts that do not. The training dataset of 10,000 posts contains the details of each post, including the timestamp, author, and full text of the post. You are missing the target labels that are required for training. Which two options will create valid target label data? A) Ask the social media handling team to review each post and provide the label. B) Use the sentiment analysis NLP library to determine whether a post requires a response. C) Use the Amazon Mechanical Turk web service to publish Human Intelligence Tasks that ask Turk workers to label the posts. D) Using the a priori probability distribution of the two

FAQs

Which approach meets the requirement for SSO identity management with Microsoft AD access to S3 data by business-unit prefixes?

Use AWS IAM Federation functions and map roles to the users’ groups in AD (Option A).

How can a Redshift administrator prepare a 500-GB S3 file to optimize the nightly COPY command?

Convert the file format to AVRO (Option C).

What technique allows detecting Redshift load errors efficiently without performing cleanup if the load fails?

Use COPY with the NOLOAD parameter (Option B).

Sep 20, 2026

Uploaded by Liam