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NEW QUESTION: 1
If the probability of a success on a single trial is 0.2 and 3 trials are performed, what is the probability of at least one success?
A. 0.008
B. 0.384
C. 0.488
D. 0.600
Answer: C

NEW QUESTION: 2
インシデント管理プロセスのレビューで、インシデントチケットの複数のインスタンスが異常に長期間開いたままになっていることが判明した場合、経営陣に対する情報システム監査人の最善の推奨事項は何ですか？
A. 定義された期間後にチケットを自動的に閉じるようにシステムを構成します。
B. 識別されたチケットを手動で確認し、システムでクローズ済みとしてマークします。
C. ヘルプデスクスタッフの数を増やして、チケットの迅速なクローズを可能にします。
D. チケットクローズの主要業績評価指標（KPI）のレポートを実装します。
Answer: D

NEW QUESTION: 3
You have a Python web application with many dependencies that requires 0.1 CPU cores and 128 MB of memory to operate in production. You want to monitor and maximize machine utilization. You also to reliably deploy new versions of the application. Which set of steps should you take?
A. Perform the following:
1) Create a Kubernetes Engine cluster with n1-standard-4 type machines.
2) Build a Docker image from the master branch will all of the dependencies, and tag it with "latest".
3) Create a Kubernetes Deployment in the default namespace with the imagePullPolicy set to "Always".
Restart the pods to automatically deploy new production releases.
B. Perform the following:
1) Create a managed instance group with f1-micro type machines.
2) Use a startup script to clone the repository, check out the production branch, install the dependencies, and start the Python app.
3) Restart the instances to automatically deploy new production releases.
C. Perform the following:
1) Create a managed instance group with n1-standard-1 type machines.
2) Build a Compute Engine image from the production branch that contains all of the dependencies and automatically starts the Python app.
3) Rebuild the Compute Engine image, and update the instance template to deploy new production releases.
D. Perform the following:
1) Create a Kubernetes Engine cluster with n1-standard-1 type machines.
2) Build a Docker image from the production branch with all of the dependencies, and tag it with the
3) Create a Kubernetes Deployment with the imagePullPolicy set to "IfNotPresent" in the staging namespace, and then promote it to the production namespace after testing.
Answer: A
Explanation:
https://cloud.google.com/compute/docs/instance-templates