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NEW QUESTION: 1
プロジェクトマネージャーは、品質に費やされた時間を評価しています。特定の製造プロセスの問題をより適切に評価するために、プロジェクトマネージャーは、前年のコンポーネントごとの欠陥の数と欠陥の発生のランク付けを知りたいと考えています。
プロジェクトマネージャーはどのようなツールまたは手法を使用する必要がありますか？
A. 管理図
B. ヒストグラム
C. 因果関係図
D. 散布図
Answer: B

NEW QUESTION: 2
Where do you select the default setting for the order acknowledgement indicator in SAP Materials Management? (2)
A. In the purchasing group
B. In the parameter EVO
C. In the business function LOG_MM_CI_1
D. In the personal setting of the purchase order
Answer: B,D

NEW QUESTION: 3
An auction website enables users to bid on collectible items. The auction rules require that each bid is processed only once and in the order it was received. The current implementation is based on a fleet of Amazon EC2 web servers that write bid records into Amazon Kinesis Data Streams.
A single t2.large instance has a cron job that runs the bid processor, which reads incoming bids from Kinesis Data Streams and processes each bid. The auction site is growing in popularity, but users are complaining that some bids are not registering.
Troubleshooting indicates that the bid processor is too slow during peak demand hours, sometimes crashes while processing, and occasionally loses track of which records is being processed. What changes should make the bid processing more reliable?
A. Refactor the web application to post each incoming bid to an Amazon SNS topic in place of Kinesis Data Streams. Configure the SNS topic to trigger an AWS Lambda function that processes each bid as soon as a user submits it.
B. Refactor the web application to post each incoming bid to an Amazon SQS FIFO queue in place of Kinesis Data Streams. Refactor the bid processor to continuously the SQS queue. Place the bid processing EC2 instance in an Auto Scaling group with a minimum and a maximum size of 1.
C. Switch the EC2 instance type from t2.large to a larger general compute instance type. Put the bid processor EC2 instances in an Auto Scaling group that scales out the number of EC2 instances running the bid processor, based on the IncomingRecords metric in Kinesis Data Streams.
D. Refactor the web application to use the Amazon Kinesis Producer Library (KPL) when posting bids to Kinesis Data Streams. Refactor the bid processor to flag each record in Kinesis Data Streams as being unread, processing, and processed. At the start of each bid processing run, scan Kinesis Data Streams for unprocessed records.
Answer: B
Explanation:
A\B: Not feasible
C: FIFO is better in this case compared to Kinesis, as it guarantee the order of the bid. Min Max
1, is okay as the SQS will hold the queue in case of failure of the instance, till it come back again.
D: Still it does not solve the ordering issue.

NEW QUESTION: 4
Aus welcher BEST-Population können Sie auswählen, wenn Sie testen, ob Programme mit ordnungsgemäßer Genehmigung auf die Produktion migriert werden?
A. Liste der Produktionsprogramme
B. Liste der Änderungen, die von Anwendungsprogrammmanagern bereitgestellt wurden
C. Ausgefüllte Änderungsanforderungsformulare
D. Protokoll der Beiratssitzung ändern
Answer: A