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NEW QUESTION: 1
다음 중 Amazon ElastiCache를 관리하고 관리 작업을 수행하는데 사용할수 없는 것은 무엇입니까?
A. AWS CloudWatch
B. ElastiCache 명령 줄 인터페이스 (CLI)
C. Amazon S3
D. AWS 소프트웨어 개발 키트 (SDK)
Answer: A
Explanation:
설명:
CloudWatch는 모니터링 도구이며 사용자가 Amazon ElastiCache를 관리 할 수있는 권한을 부여하지 않습니다.
http://docs.aws.amazon.com/AmazonElastiCache/latest/UserGuide/WhatIs.Managing.html
NEW QUESTION: 2
A company creates business-critical 3D images every night. The images are batch-processed every Friday and require an uninterrupted 48 hours to complete.
What is the MOST cost-effective Amazon EC2 pricing model for this scenario?
A. Spot Instances
B. On-Demand Instances
C. Scheduled Reserved Instances
D. Reserved Instances
Answer: C
Explanation:
Scheduled Reserved Instances (Scheduled Instances) enable you to purchase capacity reservations that recur on a daily, weekly, or monthly basis, with a specified start time and duration, for a one-year term. You reserve the capacity in advance, so that you know it is available when you need it. You pay for the time that the instances are scheduled, even if you do not use them.
Scheduled Instances are a good choice for workloads that do not run continuously, but do run on a regular schedule. For example, you can use Scheduled Instances for an application that runs during business hours or for batch processing that runs at the end of the week.
CORRECT: "Scheduled Reserved Instances" is the correct answer.
INCORRECT: "Standard Reserved Instances" is incorrect as the workload only runs for 4 hours a day this would be more expensive.
INCORRECT: "On-Demand Instances" is incorrect as this would be much more expensive as there is no discount applied.
INCORRECT: "Spot Instances" is incorrect as the workload cannot be interrupted once started.
With Spot instances workloads can be terminated if the Spot price changes or capacity is required.
References:
https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-scheduled-instances.html
NEW QUESTION: 3
Azure Machine Learning Studioで実験を作成します-10.000行を含むトレーニングデータセットを追加します。最初の9.000行はクラス0（90パーセント）を表します。最初の1.000行はクラス1（10パーセント）を表します。
トレーニングセットは2つのクラス間で不均衡です。データ行を使用して、クラス1のトレーニング例の数を4,000に増やす必要があります。 Synthetic Minority Oversampling Technique（SMOTE）モジュールを実験に追加します。
モジュールを構成する必要があります。
どの値を使用する必要がありますか？回答するには、回答領域のダイアログボックスで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。
Answer:
Explanation:
