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Amazon Web Services DBS-C01 Exam Dumps

Exam Name: AWS Certified Database - Specialty
Certification Name: AWS-Certified-Database

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  • Total Questions: 270
  • Last Updation Date: 16-Apr-2024

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A database professional is developing an application that will respond to single-instance
requests. The program will query large amounts of client data and offer end users with
results.
These reports may include a variety of fields. The database specialist want to enable users
to query the database using any of the fields offered.
During peak periods, the database's traffic volume will be significant yet changeable.
However, the database will see little activity over the rest of the day.
Which approach will be the most cost-effective in meeting these requirements?

 

Amazon DynamoDB with provisioned capacity mode and auto scaling

 

Amazon DynamoDB with on-demand capacity mode

 

Amazon Aurora with auto scaling enabled

 

Amazon Aurora in a serverless mode


Amazon Aurora in a serverless mode






A company needs a data warehouse solution that keeps data in a consistent, highly structured format. The
company requires fast responses for end-user queries when looking at data from the current year, and users
must have access to the full 15-year dataset, when needed. This solution also needs to handle a fluctuating
number incoming queries. Storage costs for the 100 TB of data must be kept low.Which solution meets these requirements?

 

Leverage an Amazon Redshift data warehouse solution using a dense storage instance type while
keeping all the data on local Amazon Redshift storage. Provision enough instances to support high
demand

 

Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most
recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum
layer. Provision enough instances to support high demand

 

Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most
recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum
layer. Enable Amazon Redshift Concurrency Scaling.

 

Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most
recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum
layer. Leverage Amazon Redshift elastic resize


Leverage an Amazon Redshift data warehouse solution using a dense storage instance to store the most
recent data. Keep historical data on Amazon S3 and access it using the Amazon Redshift Spectrum
layer. Enable Amazon Redshift Concurrency Scaling.






A corporation wishes to move a 1 TB Oracle database from its current location to an
Amazon Aurora PostgreSQL DB cluster. The database specialist at the firm noticed that
the Oracle database stores 100 GB of large binary objects (LOBs) across many tables. The
Oracle database supports LOBs up to 500 MB in size and an average of 350 MB. AWS
DMS was picked by the Database Specialist to transfer the data with the most replication
instances.
How should the database specialist improve the transfer of the database to AWS DMS?

 

Create a single task using full LOB mode with a LOB chunk size of 500 MB to migrate
the data and LOBs together

 

Create two tasks: task1 with LOB tables using full LOB mode with a LOB chunk size of
500 MB and task2 without LOBs

 

Create two tasks: task1 with LOB tables using limited LOB mode with a maximum LOB
size of 500 MB and task 2 without LOBs

 

Create a single task using limited LOB mode with a maximum LOB size of 500 MB to
migrate data and LOBs together


Create two tasks: task1 with LOB tables using limited LOB mode with a maximum LOB
size of 500 MB and task 2 without LOBs


https://docs.aws.amazon.com/dms/latest/userguide/CHAP_BestPractices.html#CHAP_Bes
tPractices.LOBS,
"AWS DMS migrates LOB data in two phases: 1. AWS DMS creates a new row in the
target table and populates the row with all data except the associated LOB value. 2.AWS
DMS updates the row in the target table with the LOB data." This means that we would
need two tasks, one per phase and use limited LOB mode for best performance.



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