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Databricks-Certified-Data-Engineer-Associate최신인증시험기출자료 - Databricks-Certified-Data-Engineer-Associate인증시험인기덤프문제

Databricks Databricks-Certified-Data-Engineer-Associate 덤프에 대한 자신감이 어디서 시작된것이냐고 물으신다면Databricks Databricks-Certified-Data-Engineer-Associate덤프를 구매하여 시험을 패스한 분들의 희소식에서 온다고 답해드리고 싶습니다. 저희Databricks Databricks-Certified-Data-Engineer-Associate덤프는 자주 업데이트되고 오래된 문제는 바로 삭제해버리고 최신 문제들을 추가하여 고객님께 가장 정확한 덤프를 제공해드릴수 있도록 하고 있습니다.

GAQM Databricks 인증 데이터 엔지니어 관련 시험은 Databricks를 사용하여 데이터 파이프 라인 설계 및 구축 능력을 입증하려는 데이터 엔지니어를 위해 설계된 인증 시험입니다. 이 시험은 데이터 엔지니어링, 빅 데이터 처리 및 분석 및 클라우드 컴퓨팅 분야의 후보자의 지식과 기술을 데이터 사업을 사용하여 테스트하도록 설계되었습니다.

시험은 60개의 객관식 문제로 구성되어 있으며 데이터브릭스 개념, 즉 데이터 엔지니어링, 데이터 처리, 데이터 저장 및 데이터 분석을 이해하는 능력을 시험합니다. 시험을 통과하려면 최소 70%의 점수를 얻어야 합니다. 시험은 온라인으로 응시할 수 있으며, 영어, 스페인어, 중국어 등 여러 언어로 제공됩니다. 시험에 통과하면 Databricks Certified Data Engineer Associate 자격증을 받게 되며, 이는 Databricks를 사용한 대규모 데이터 처리 전문성의 상징으로 전 세계적으로 인정됩니다.

>> Databricks-Certified-Data-Engineer-Associate최신 인증시험 기출자료 <<

Databricks Databricks-Certified-Data-Engineer-Associate인증시험 인기 덤프문제 & Databricks-Certified-Data-Engineer-Associate최신 업데이트 시험덤프문제

IT인증자격증만 소지한다면 일상생활에서 많은 도움이 될것입니다. 하지만 문제는 어떻게 간단하게 시험을 패스할것인가 입니다. PassTIP는 IT전문가들이 제공한 시험관련 최신 연구자료들을 제공해드립니다.PassTIP을 선택함으로써 여러분은 성공도 선택한것이라고 볼수 있습니다. PassTIP의Databricks 인증Databricks-Certified-Data-Engineer-Associate시험대비 덤프로Databricks 인증Databricks-Certified-Data-Engineer-Associate시험을 패스하세요.

최신 Databricks Certification Databricks-Certified-Data-Engineer-Associate 무료샘플문제 (Q11-Q16):

질문 # 11
A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database.
They run the following command:

Which of the following lines of code fills in the above blank to successfully complete the task?

• A. sqlite
• B. org.apache.spark.sql.sqlite
• C. autoloader
• D. DELTA
• E. org.apache.spark.sql.jdbc

정답：E

설명：
Explanation
CREATE TABLE new_employees_table
USING JDBC
OPTIONS (
url "<jdbc_url>",
dbtable "<table_name>",
user '<username>',
password '<password>'
) AS
SELECT * FROM employees_table_vw
https://docs.databricks.com/external-data/jdbc.html#language-sql

 

질문 # 12
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?

• A.
• B.
• C.
• D.
• E.

정답：E

설명：
The best practice is to use "Complete" as output mode instead of "append" when working with aggregated tables. Since gold layer is work final aggregated tables, the only option with output mode as complete is option E.

 

질문 # 13
A data engineer has a single-task Job that runs each morning before they begin working. After identifying an upstream data issue, they need to set up another task to run a new notebook prior to the original task.
Which of the following approaches can the data engineer use to set up the new task?

• A. They can clone the existing task to a new Job and then edit it to run the new notebook.
• B. They can create a new task in the existing Job and then add it as a dependency of the original task.
• C. They can clone the existing task in the existing Job and update it to run the new notebook.
• D. They can create a new task in the existing Job and then add the original task as a dependency of the new task.
• E. They can create a new job from scratch and add both tasks to run concurrently.

정답：A

 

질문 # 14
A data engineer wants to create a data entity from a couple of tables. The data entity must be used by other data engineers in other sessions. It also must be saved to a physical location.
Which of the following data entities should the data engineer create?

• A. Temporary view
• B. View
• C. Database
• D. Table
• E. Function

정답：D

설명：
A table is a data entity that is stored in a physical location and can be accessed by other data engineers in other sessions. A table can be created from one or more tables using the CREATE TABLE or CREATE TABLE AS SELECT commands. A table can also be registered from an existing DataFrame using the spark.catalog.createTable method. A table can be queried using SQL or DataFrame APIs. A table can also be updated, deleted, or appended using the MERGE INTO command or the DeltaTable API. References:
* Create a table
* Create a table from a query result
* Register a table from a DataFrame
* [Query a table]
* [Update, delete, or merge into a table]

 

질문 # 15
A data engineer needs to create a table in Databricks using data from their organization's existing SQLite database. They run the following command:
CREATE TABLE jdbc_customer360
USING
OPTIONS (
url "jdbc:sqlite:/customers.db", dbtable "customer360"
)
Which line of code fills in the above blank to successfully complete the task?

• A. sqlite
• B. org.apache.spark.sql.sqlite
• C. autoloader
• D. org.apache.spark.sql.jdbc

정답：D

설명：
To create a table in Databricks using data from an SQLite database, the correct syntax involves specifying the format of the data source. The format in the case of using JDBC (Java Database Connectivity) with SQLite is specified by the org.apache.spark.sql.jdbc format. This format allows Spark to interface with various relational databases through JDBC. Here is how the command should be structured:
CREATE TABLE jdbc_customer360
USING org.apache.spark.sql.jdbc
OPTIONS (
url "jdbc:sqlite:/customers.db",
dbtable "customer360"
)
The USING org.apache.spark.sql.jdbc line specifies that the JDBC data source is being used, enabling Spark to interact with the SQLite database via JDBC.
Reference:
Databricks documentation on JDBC: Connecting to SQL Databases using JDBC

 

질문 # 16
......

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