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NEW QUESTION: 1
What is the functionality of an aggregation node in a calculation view?(Choose two)
A. It provides grouping of filter criteria
B. It calculates the sum, minimum, or maximum values for selected columns
C. It determines the output structure of the calculation view
D. It provides deeper control over which columns are totaled
Answer: B,D

NEW QUESTION: 2
展示を参照してください。

マルチレイヤスイッチは、カプセル化されたタグ付きフレームを送受信するように構成されています。マルチレイヤスイッチのVLAN 2013は、ネイティブVLANとして設定されます。どのオプションがスパニングツリーエラーの原因ですか？
A. VLAN ID 1は安全ではないため、管理トラフィックに使用しないでください。
B. SW-2のVLANスパニングツリーが設定されています。
C. 802.1qトランクは両側にあり、両方ともネイティブVLANの不一致があります。
D. スパニングツリーbpdu-filterが有効になっています。
Answer: C

NEW QUESTION: 3
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 shard for each equipment asset.
Use Amazon Kinesis Data Firehose to save data to Amazon EBS.
C. 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.
D. 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.
Answer: C
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