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NEW QUESTION: 1
You need to make changes to an application flow that you are currently using. What two actions must you
take before any changes can be made? (Choose two.)
A. Remove the application flow from all the Career sections that it is currently associated with.
B. Deactivate the application flow.
C. Change the name of the application flow so that the Career sections do not recognize it.
D. Deactivate all Career sections that it is associated with.
E. Assign the application flow to an inactive Career section.
Answer: A,B
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 2
The compliance program should address plans to verify adherence
to applicable regulations through:
A. Self monitoring
B. Ongoing monitoring to evaluate the program, self monitoring and periodic reviews
C. Ongoing monitoring to evaluate the program, self monitoring and corrective action
D. Periodic reviews
Answer: C
NEW QUESTION: 3
毎日200,000個の新しいファイルを生成するAzureStorageアカウントがあります。ファイル名の形式は次のとおりです。
{YYYY} / {MM} / {DD} / {HH} / {CustomerID} .csv。
ストレージアカウントからAzureDataLakeに1時間に1回新しいデータを読み込むAzureDataFactoryソリューションを設計する必要があります。このソリューションでは、ロード時間とコストを最小限に抑える必要があります。
ソリューションをどのように構成する必要がありますか?回答するには、回答領域で適切なオプションを選択します。
注:正しい選択はそれぞれ1ポイントの価値があります
Answer:
Explanation:
Explanation
Box 1: Incremental load
When you start to build the end to end data integration flow the first challenge is to extract data from different data stores, where incrementally (or delta) loading data after an initial full load is widely used at this stage.
Now, ADF provides a new capability for you to incrementally copy new or changed files only by LastModifiedDate from a file-based store. By using this new feature, you do not need to partition the data by time-based folder or file name. The new or changed file will be automatically selected by its metadata LastModifiedDate and copied to the destination store.
Box 2: Tumbling window
Tumbling window triggers are a type of trigger that fires at a periodic time interval from a specified start time, while retaining state. Tumbling windows are a series of fixed-sized, non-overlapping, and contiguous time intervals. A tumbling window trigger has a one-to-one relationship with a pipeline and can only reference a singular pipeline.
Reference:
https://azure.microsoft.com/en-us/blog/incrementally-copy-new-files-by-lastmodifieddate-with-azure-data-factor
https://docs.microsoft.com/en-us/azure/data-factory/how-to-create-tumbling-window-trigger