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NEW QUESTION: 1
Ein Gürtel, der in einer Lieferkettenumgebung arbeitet, muss die Entscheidung treffen, die Lieferanten kritischer Rohstoffe für ein neues Produkt-Upgrade zu wechseln. Der Einkaufsmanager ist abhängig vom Aufwand des Gürtels und verlangt, dass die durchschnittlichen Kosten einer internen kritischen Rohstoffkomponente höchstens 4.200 USD betragen, um das Budget einzuhalten. Unter Verwendung einer Stichprobe von 35 Komponenten des ersten Artikels wurde ein Mittelwert des Upgrades des neuen Produkts von 4.060 USD und eine Standardabweichung von 98 USD geschätzt. Wählen Sie die Antwort aus, die das praktische Problem am besten angibt.
A. Nur wenn die durchschnittlichen Kosten pro Produkt-Upgrade 4.060 USD betragen, führt der Einkaufsmanager neue Produkt-Upgrades mit neuen Komponenten ein.
B. Wenn die durchschnittlichen Kosten pro Komponente mehr als 4.200 USD betragen, führt der Einkaufsmanager das neue Produkt-Upgrade mit neuen Komponenten ein.
C. Wenn die durchschnittlichen Kosten pro Upgrade eines neuen Produkts weniger als 180 US-Dollar betragen, führt der Einkaufsmanager das Upgrade eines neuen Produkts mit neuen Komponenten ein.
D. Wenn die durchschnittlichen Kosten pro Komponente 4.200 USD oder weniger betragen, führt der Einkaufsmanager das neue Produkt-Upgrade mit neuen Komponenten ein.
Answer: A
NEW QUESTION: 2
Network device interface is divided into the following two ().
A. MDI_R
B. MDI
C. MDI_X
D. MDI_S
Answer: B,C
NEW QUESTION: 3
A company has a large on-premises Apache Hadoop cluster with a 20 PB HDFS database. The cluster is growing every quarter by roughly 200 instances and 1 PB. The company's goals are to enable resiliency for its Hadoop data, limit the impact of losing cluster nodes, and significantly reduce costs. The current cluster runs
24/7 and supports a variety of analysis workloads, including interactive queries and batch processing.
Which solution would meet these requirements with the LEAST expense and down time?
A. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
B. Use AWS Direct Connect to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workload based on historical data from the on-premises cluster. Store the data on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
C. Use AWS Snowball to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster initially sized to handle the interactive workloads based on historical data from the on-premises cluster. Store the on EMRFS. Minimize costs using Reserved Instances for master and core nodes and Spot Instances for task nodes, and auto scale task nodes based on Amazon CloudWatch metrics. Create job-specific, optimized clusters for batch workloads that are similarly optimized.
D. Use AWS Snowmobile to migrate the existing cluster data to Amazon S3. Create a persistent Amazon EMR cluster of similar size and configuration to the current cluster. Store the data on EMRFS.
Minimize costs by using Reserved Instances. As the workload grows each quarter, purchase additional Reserved Instances and add to the cluster.
Answer: C