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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:
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
You need to create business partners (BP) to record data relevant for BP roles Customer and FI Customer.
Which organizational elements must you enter to maintain this data?
A. Business area and company code
B. Sales area and controlling area
C. Credit control area and company code
D. Sales area and company code
Answer: D
NEW QUESTION: 3
PyTorchフレームワークを使用して、マルチクラス画像分類の深層学習実験を作成します。 GPUを備えたノードを持つAzure Computeクラスターで実験を実行する予定です。
画像分類モデルの毎月の再トレーニングを実行するには、Azure Machine Learningサービスパイプラインを定義する必要があります。パイプラインは最小限のコストで実行し、モデルのトレーニングに必要な時間を最小限に抑える必要があります。
どの3つのパイプラインステップを順番に実行する必要がありますか？回答するには、適切なアクションをアクションのリストから回答領域に移動し、正しい順序に並べます。
Answer:
Explanation:
Explanation
Step 1: Configure a DataTransferStep() to fetch new image data...
Step 2: Configure a PythonScriptStep() to run image_resize.y on the cpu-compute compute target.
Step 3: Configure the EstimatorStep() to run training script on the gpu_compute computer target.
The PyTorch estimator provides a simple way of launching a PyTorch training job on a compute target.
Reference:
https://docs.microsoft.com/en-us/azure/machine-learning/how-to-train-pytorch
NEW QUESTION: 4
You have a data warehouse that contains all of the sales data for your company. The data warehouse contains several SQL Server Integration Services (SSIS) packages.
You need to create a custom report that contains the total number of rows processed in the package and the time required for each package to execute.
Which view should you include in the report?
A. catalog.execution_data_taps
B. catalog.executable_statistics
C. catalog.execution_data_statistics
D. catalog.event_messages
Answer: C
Explanation:
Explanation
Explanation
The catalog.execution_data_statistics view displays a row each time a data flow component sends data to a downstream component, for a given package execution. The information in this view can be used to compute the data throughput for a component.
Fields in this view include:
created_time The time when the values were obtained.
rows_sent The number of rows sent from the source component.
References:
https://docs.microsoft.com/en-us/sql/integration-services/system-views/catalog-execution-datastatistics