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NEW QUESTION: 1
You are responsible for providing access to an Azure Data Lake Storage Gen2 account.
Your user account has contributor access to the storage account, and you have the application ID access key.
You plan to use PolyBase to load data into Azure SQL data warehouse.
You need to configure PolyBase to connect the data warehouse to the storage account.
Which three components should you create in sequence? To answer, move the appropriate components from the list of components to the answer are and arrange them in the correct order.

Answer:
Explanation:

Explanation:
Step 1: a database scoped credential
To access your Data Lake Storage account, you will need to create a Database Master Key to encrypt your credential secret used in the next step. You then create a database scoped credential.
Step 2: an external data source
Create the external data source. Use the CREATE EXTERNAL DATA SOURCE command to store the location of the data. Provide the credential created in the previous step.
Step 3: an external file format
Configure data format: To import the data from Data Lake Storage, you need to specify the External File Format. This object defines how the files are written in Data Lake Storage.
References:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-load-from-azure-data-lake-store

NEW QUESTION: 2

A. Option C
B. Option B
C. Option D
D. Option A
Answer: A

NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、指定された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合がありますが、他の質問セットには正しい解決策がない場合があります。
このセクションの質問に回答した後は、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Azure Machine Learningを使用して、分類モデルをトレーニングする実験を実行しています。
Hyperdriveを使用して、モデルのAUCメトリックを最適化するパラメーターを見つけます。次のコードを実行して、実験用のHyperDriveConfigを構成します。

この構成を使用して、ランダムフォレストモデルをトレーニングし、検証データでテストするスクリプトを実行することを計画しています。検証データのラベル値はy_test変数という変数に格納され、モデルからの予測確率はy_predictedという変数に格納されます。
HyperdriveがAUCメトリックのハイパーパラメーターを最適化できるようにするには、スクリプトにログを追加する必要があります。解決策：次のコードを実行します。

ソリューションは目標を達成していますか？
A. いいえ
説明
Use a solution with logging.info(message) instead.
Note: Python printing/logging example:
logging.info(message)
Destination: Driver logs, Azure Machine Learning designer
B. はい
Answer: A
Explanation:
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-debug-pipelines