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NEW QUESTION: 1



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

NEW QUESTION: 2
Azure Data Lake Storage Gen2には、数千のCSVファイルにデータが保存されています。各ファイルにはヘッダー行があり、その後にプロパティ形式のキャリッジリターン（/ r）とラインフィード（/ n）が続きます。
PolyBaseを使用して、Azure SQLデータウェアハウスにファイルを毎日バッチロードするパターンを実装しています。
ファイルをデータウェアハウスにインポートするときは、ヘッダー行をスキップする必要があります。
順番に実行する必要がある3つのアクションはどれですか？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エリアに移動し、正しい順序に並べます。
順番に実行する3つのアクションはどれですか？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エリアに移動し、正しい順序に並べます。

Answer:
Explanation:

Explanation

Step 1: Create an external data source and set the First_Row option.
Creates an External File Format object defining external data stored in Hadoop, Azure Blob Storage, or Azure Data Lake Store. Creating an external file format is a prerequisite for creating an External Table.
FIRST_ROW = First_row_int
Specifies the row number that is read first in all files during a PolyBase load. This parameter can take values
1-15. If the value is set to two, the first row in every file (header row) is skipped when the data is loaded.
Rows are skipped based on the existence of row terminators (/r/n, /r, /n).
Step 2: Create an external data source that uses the abfs location
The hadoop-azure module provides support for the Azure Data Lake Storage Gen2 storage layer through the
"abfs" connector
Step 3: Use CREATE EXTERNAL TABLE AS SELECT (CETAS) and create a view that removes the empty row.
References:
https://docs.microsoft.com/en-us/sql/t-sql/statements/create-external-file-format-transact-sql
https://hadoop.apache.org/docs/r3.2.0/hadoop-azure/abfs.html

NEW QUESTION: 3
Data on a storage system was last replicated at 8:00 AM and the storage system had a major failure at 9:33 AM. The failure caused all changes to the data between 8:00 AM and 9:33 AM to be lost. The data loss was deemed acceptable based on the 2 hour:
A. Recovery Point Objective (RPO)
B. Mean Time Between Failures (MTBF)
C. Mean Time to Data Loss (MTDL)
D. Recovery Time Objective (RTO)
Answer: A