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EXAM INFORMATION
Exam Code: BDS-C00
Exam Title: AWS Certified Big Data - Specialty
Vendor: Amazon
Exam Questions: 308
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SKILLS MEASURED
The AWS Certified Big Data - Specialty (BDS-C00) exam
measures your ability to design, build, secure, and maintain big
data solutions on the AWS platform. The exam covers topics
such as big data analytics, data processing using Amazon EMR,
Amazon Redshift, Amazon Kinesis, and Amazon Athena, as well
as data security and compliance on the AWS platform. To
become certified, you must demonstrate a deep understanding
of these services and how they can be used to solve real-world
big data problems.
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HERE WE SHOW YOU FREE DEMO QUESTIONS
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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
AaNcSceWssE iRn :a A transparent manner.
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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.
ANSWER: B
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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.
ANSWER: B
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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
ANSWER: D
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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?
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.
ANSWER: C
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