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NEW QUESTION: 1
Docker Trusted Registryでホストされているイメージから展開されたコンテナーをホストするには、Azure Kubernetes Service（AKS）を使用する予定です。
AKSをプロビジョニングして接続するためのソリューションを推奨する必要があります。解決策は、AKSがRBAC対応であり、カスタムサービスプリンシパルを使用することを確実にしなければならない。
どの3つのコマンドを順番に実行することをお勧めしますか？回答するには、適切なコマンドをコマンドのリストから回答領域に移動し、それらを円錐順に並べます。

Answer:
Explanation:

Explanation

Step 1 : az acr create
An Azure Container Registry (ACR) can also be created using the new Azure CLI.
az acr create
--name <REGISTRY_NAME>
--resource-group <RESOURCE_GROUP_NAME>
--sku Basic
Step 2: az ad sp create-for-rbac
Once the ACR has been provisioned, you can either enable administrative access (which is okay for testing) or you create a Service Principal (sp) which will provide a client_id and a client_secret.
az ad sp create-for-rbac
--scopes
/subscriptions/<SUBSCRIPTION_ID>/resourcegroups/<RG_NAME>/providers/Microsoft.ContainerRegistry/re
--role Contributor
--name <SERVICE_PRINCIPAL_NAME>
Step 3: kubectl create
Create a new Kubernetes Secret.
kubectl create secret docker-registry <SECRET_NAME>
--docker-server <REGISTRY_NAME>.azurecr.io
--docker-email <YOUR_MAIL>
--docker-username=<SERVICE_PRINCIPAL_ID>
--docker-password <YOUR_PASSWORD>
References:
https://thorsten-hans.com/how-to-use-private-azure-container-registry-with-kubernetes

NEW QUESTION: 2
You need to create a data pipeline that copies time-series transaction data so that it can be queried from within BigQuery by your data science team for analysis. Every hour, thousands of transactions are updated with a new status. The size of the intitial dataset is 1.5 PB, and it will grow by 3 TB per day. The data is heavily structured, and your data science team will build machine learning models based on this data. You want to maximize performance and usability for your data science team. Which two strategies should you adopt? (Choose two.)
A. Develop a data pipeline where status updates are appended to BigQuery instead of updated.
B. Copy a daily snapshot of transaction data to Cloud Storage and store it as an Avro file. Use BigQuery's support for external data sources to query.
C. Use BigQuery UPDATE to further reduce the size of the dataset.
D. Denormalize the data as must as possible.
E. Preserve the structure of the data as much as possible.
Answer: A,D
Explanation:
Denormalization will help in performance by reducing query time, update are not good with bigquery.

NEW QUESTION: 3
You have been asked to project manage a fiber cable backbone installation. In the course of the
installation, you notice the fiber cable with a 25 mm (1 in) outside diameter is being installed into a small
TR, and the cable is being installed into a tight corner. Based on your knowledge of minimum bend radius
requirements for fiber cable, you must ensure that the MINIMUM cable bend radius of _______________
is provided when the cable installation is completed.
A. 610 mm (24 in)
B. 305 mm (12 in)
C. 457 mm (18 in)
D. 381 mm (15 in)
E. 254 mm (10 in)
Answer: E