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  • Exam Number/Code : Associate-Developer-Apache-Spark-3.5
  • Exam Name : Databricks Certified Associate Developer for Apache Spark 3.5 - Python
  • Questions and Answers : 260 Q&As
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NEW QUESTION: 1
NIST (National Institute of Standards and Technology) summarizes PaaS as an application-oriented core platform. What are the characteristics of PaaS in terms of functional definition and core value? (Multiple choice)
A. Automate the acquisition of cloud resources for application deployment
B. Underlying resource non-perceived application automation operation and maintenance (including configuration, upgrade, scaling, etc.)
C. Includes computing services, storage services, and network services.
D. Provide standardized programming frameworks and services to enable continuous development and integration
Answer: A,B,D

NEW QUESTION: 2
どのビジネスパートナー特性が顧客およびサプライヤーアカウントグループにマッピングされていますか?正解を選択してください。
A. ビジネスパートナタイプ
B. ビジネスパートナーのグループ化
C. ビジネスパートナーの役割
D. ビジネスパートナカテゴリ
Answer: B

NEW QUESTION: 3
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

 

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