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NEW QUESTION: 1
Universal Containers requires that the organization-wide default for opportunities be set to. public read/write. However, sales users are complaining that opportunity reports return too. many results, making it difficult to. find their team's opportunities in the report results. How can the system administrator address this problem?
A. Move the opportunity reports into. a folder with restricted access
B. Move the opportunity reports into. each user's personal reports
C. Update the sharing rules to. limit user access to. certain opportunity
D. Use the show filter to. filter report results and reduce records returned
Answer: D

NEW QUESTION: 2
DRAG DROP
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New C-THR89-2311 Test Vce Free
Answer:
Explanation:
New C-THR89-2311 Test Vce Free

NEW QUESTION: 3
Refer to the exhibit.
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Link1 is a copper connection and Link2 is a fiber connection. The fiber port must be the primary port for all forwarding. The output of the show spanning-tree command on SW2 shows that the fiber port is blocked by spanning tree. An engineer enters the spanning- tree port-priority 32 command on GO/1 on SW2, but the port remains blocked. Which command should be entered on the ports that are connected to Link2 to resolve the issue?
A. Enter spanning-tree port-priority 64 on SW2.
B. Enter spanning-tree port-priority 4 on SW2.
C. Enter spanning-tree port-priority 32 on SW1.
D. Enter spanning-tree port-priority 224 on SW1.
Answer: C

NEW QUESTION: 4
한 제조 회사에서 기계 장비에 대한 예측 유지 관리를 구현하려고 합니다.
이 회사는 실시간으로 데이터를 AWS로 전송하는 수천 개의 loT 센서를 설치할 것입니다.
솔루션 아키텍트는 각 기계 자산에 대해 정렬 된 방식으로 이벤트를 수신하고 나중에 추가 처리를 위해 데이터가 저장되도록 하는 솔루션을 구현해야 합니다.
어떤 솔루션이 가장 효율적일까요?
A. 각 장비 자산에 대한 샤드가 있는 실시간 이벤트에 Amazon Kinesis Data Streams를 사용합니다.
Amazon Kinesis Data Firehose를 사용하여 Amazon EBS에 데이터를 저장합니다.
B. Amazon SQS FIFO 대기열을 사용하여 실시간 이벤트에 각 장비 자산에 대해 하나의 대기열을 사용합니다.
SQS 대기열에 대한 AWS Lambda 함수를 트리거하여 Amazon EFS에 데이터를 저장합니다.
C. 각 장비 자산에 대해 하나의 대기열이있는 실시간 이벤트에 Amazon SQS 표준 대기열을 사용합니다.
SQS 대기열에서 AWS Lambda 함수를 트리거하여 Amazon S3에 데이터를 저장합니다.
D. 각 장비 자산에 대한 파티션이 있는 실시간 이벤트에 Amazon Kinesis Data Streams를 사용합니다.
Amazon Kinesis Data Firehose를 사용하여 Amazon S3에 데이터를 저장합니다.
Answer: D
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.
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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