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NEW QUESTION: 1
User1 scheduled, ran, and viewed the first page of an instance of a Crystal report. User2 can view the first page of the report as well. However, when User2 tries to view the second page of the report, an error message is displayed.
Which server could be the cause?
A. Crystal Reports Job Server
B. Crystal Reports Cache Server
C. Crystal Reports Processing Server
D. Input File Repository Server
Answer: C

NEW QUESTION: 2
You need to build a solution to collect the telemetry data for Race Control.
What should you use? To answer, select the appropriate options in the answer area.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation
API: MongoDB
Consistency level: Strong
Use the strongest consistency Strong to minimize convergence time.
Scenario: The data must be written to the Azure datacentre closest to each race and must converge in the least amount of time.
References:
https://docs.microsoft.com/en-us/azure/cosmos-db/consistency-levels

NEW QUESTION: 3
Which session persistence type is invalid?
A. async_jdbc
B. Async_replicated
C. replicated_if_clustered
D. cookie
E. file
F. replicated
G. async_memory
Answer: G

NEW QUESTION: 4
A company wants to migrate a high performance computing (HPC) application and data from on- premises to the AWS Cloud.
The company uses tiered storage on premises with hot high-performance parallel storage to support the application during periodic runs of the application and more economical cold storage to hold the data when the application is not actively running.
Which combination of solutions should a solutions architect recommend to support the storage needs of the application? (Select TWO )
A. Amazon S3 for high-performance parallel storage
B. Amazon FSx for Windows for high-performance parallel storage
C. Amazon S3 for cold data storage
D. Amazon FSx for Lustre for high-performance parallel storage
E. Amazon EFS for cold data storage
Answer: C,D
Explanation:
Amazon FSx for Lustre provides a high-performance file system optimized for fast processing of workloads such as machine learning, high-performance computing (HPC), video processing, financial modeling, and electronic design automation (EDA).
These workloads commonly require data to be presented via a fast and scalable file system interface, and typically have data sets stored on long-term data stores like Amazon S3.

Amazon FSx works natively with Amazon S3, making it easy to access your S3 data to run data processing workloads. Your S3 objects are presented as files in your file system, and you can write your results back to S3. This lets you run data processing workloads on FSx for Lustre and store your long- term data on S3 or on-premises data stores.
Therefore, the best combination for this scenario is to use S3 for cold data and FSx for Lustre for the parallel HPC job.
CORRECT: "Amazon S3 for cold data storage" is the correct answer.
CORRECT: "Amazon FSx for Lustre for high-performance parallel storage" is the correct answer.
INCORRECT: "Amazon EFS for cold data storage" is incorrect as FSx works natively with S3 which is also more economical.
INCORRECT: "Amazon S3 for high-performance parallel storage" is incorrect as S3 is not suitable for running high-performance computing jobs.
INCORRECT: "Amazon FSx for Windows for high-performance parallel storage" is incorrect as FSx for Lustre should be used for HPC use cases and use cases that require storing data on S3.
References:
https://aws.amazon.com/fsx/lustre/