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NEW QUESTION: 1
A manufacturing company wants to implement predictive maintenance on its machinery equipment.
The company will install thousands of loT sensors that will send data to AWS in real time.
A solutions architect is tasked with implementing a solution that will receive events in an ordered manner for each machinery asset and ensure that data is saved for further processing at a later time.
Which solution would be MOST efficient?
A. Use an Amazon SQS standard queue for real-time events with one queue for each equipment asset.
Trigger an AWS Lambda function from the SQS queue to save data to Amazon S3.
B. Use Amazon Kinesis Data Streams for real-time events with a partition for each equipment asset.
Use Amazon Kinesis Data Firehose to save data to Amazon S3.
C. Use an Amazon SQS FIFO queue for real-time events with one queue for each equipment asset.
Trigger an AWS Lambda function for the SQS queue to save data to Amazon EFS.
D. Use Amazon Kinesis Data Streams for real-time events with a shard for each equipment asset.
Use Amazon Kinesis Data Firehose to save data to Amazon EBS.
Answer: B
Explanation:
Amazon Kinesis Data Streams collect and process data in real time. A Kinesis data stream is a set of shards. Each shard has a sequence of data records. Each data record has a sequence number that is assigned by Kinesis Data Streams. A shard is a uniquely identified sequence of data records in a stream.
A partition key is used to group data by shard within a stream. Kinesis Data Streams segregates the data records belonging to a stream into multiple shards. It uses the partition key that is associated with each data record to determine which shard a given data record belongs to.

For this scenario, the solutions architect can use a partition key for each device. This will ensure the records for that device are grouped by shard and the shard will ensure ordering. Amazon S3 is a valid destination for saving the data records.
CORRECT: "Use Amazon Kinesis Data Streams for real-time events with a partition key for each device. Use Amazon Kinesis Data Firehose to save data to Amazon S3" is the correct answer.
INCORRECT: "Use Amazon Kinesis Data Streams for real-time events with a shard for each device. Use Amazon Kinesis Data Firehose to save data to Amazon EBS" is incorrect as you cannot save data to EBS from Kinesis.
INCORRECT: "Use an Amazon SQS FIFO queue for real-time events with one queue for each device. Trigger an AWS Lambda function for the SQS queue to save data to Amazon EFS" is incorrect as SQS is not the most efficient service for streaming, real time data.
INCORRECT: "Use an Amazon SQS standard queue for real-time events with one queue for each device. Trigger an AWS Lambda function from the SQS queue to save data to Amazon S3" is incorrect as SQS is not the most efficient service for streaming, real time data.
References:
https://docs.aws.amazon.com/streams/latest/dev/key-concepts.html

NEW QUESTION: 2
You are validating that a network environment is ready for a 4 node VxRail Model V570F deployment.
What types of DNS records must be created for VxRail components before implementation can begin?
A. Forward (A) records and Reverse (PTR) records
B. Forward (A) and MX records
C. Forward (A) records only
D. NS records and Reverse (PTR) records
Answer: A

NEW QUESTION: 3
A colleague reports FAST cache was just added to an existing VNX but FAST cache is still not enabled on the FAST VP storage pools.
What do you advise?
A. Manually enable FAST cache on the existing storage pool LUNs.
B. FAST cache can only be enabled on newly created storage pools.
C. A service call should opened for EMC Support to investigate.
D. Manually enable FAST cache on the existing storage pools.
Answer: D