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NEW QUESTION: 1
Your company just finished a rapid lift and shift to Google Compute Engine for your compute needs. You have another 9 months to design and deploy a more cloud-native solution. Specifically, you want a system that is no-ops and auto-scaling. Which two compute products should you choose? Choose 2 answers
A. Google App Engine Standard Environment
B. Google Kubernetes Engine with containers
C. Compute Engine with managed instance groups
D. Compute Engine with containers
E. Compute Engine with custom instance types
Answer: A,B
Explanation:
Explanation
B: With Container Engine, Google will automatically deploy your cluster for you, update, patch, secure the nodes.
Kubernetes Engine's cluster autoscaler automatically resizes clusters based on the demands of the workloads you want to run.
C: Solutions like Datastore, BigQuery, AppEngine, etc are truly NoOps.
App Engine by default scales the number of instances running up and down to match the load, thus providing consistent performance for your app at all times while minimizing idle instances and thus reducing cost.
Note: At a high level, NoOps means that there is no infrastructure to build out and manage during usage of the platform. Typically, the compromise you make with NoOps is that you lose control of the underlying infrastructure.
References:
https://www.quora.com/How-well-does-Google-Container-Engine-support-Google-Cloud-Platform%E2%80%99
NEW QUESTION: 2
Which three Rational Team Concert clients support reporting? (Choose three.)
A. RTC Eclipse client
B. RTC web client
C. RTC client for Microsoft Visual Studio IDE
D. RTC commande-line interface
E. RTC context-aware search tool
Answer: A,B,C
NEW QUESTION: 3
You train a machine learning model.
You must deploy the model as a real-time inference service for testing. The service requires low CPU utilization and less than 48 MB of RAM. The compute target for the deployed service must initialize automatically while minimizing cost and administrative overhead.
Which compute target should you use?
A. Azure Kubernetes Service (AKS) inference cluster
B. attached Azure Databricks cluster
C. Azure Machine Learning compute cluster
D. Azure Container Instance (ACI)
Answer: D
Explanation:
Explanation
Azure Container Instances (ACI) are suitable only for small models less than 1 GB in size.
Use it for low-scale CPU-based workloads that require less than 48 GB of RAM.
Note: Microsoft recommends using single-node Azure Kubernetes Service (AKS) clusters for dev-test of larger models.
Reference:
https://docs.microsoft.com/id-id/azure/machine-learning/how-to-deploy-and-where
NEW QUESTION: 4
組織が会社のAWS環境での許可されていない変更を監査するために外部の会社を雇った場合、外部監査人は適切なアクセスを必要とします。
どうすればこれを達成できますか？
A. IAMユーザーを作成し、Amazon InspectorのListFindingsアクセスを使用してそれらに新しいポリシーを割り当てます
B. IAMユーザーを作成し、Amazon S3のAWS CloudTrailログへの読み取りアクセス権を持つ新しいIAMポリシーをそれらに割り当てます
C. IAMユーザーを作成し、AWS ArtifactのGetResourcesアクセス権を持つ新しいポリシーをそれらに割り当てます
D. IAMユーザーを作成して既存の "Administrator" IAMグループに追加します
Answer: B
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