New Databricks-Certified-Data-Engineer-Associate Test Tips - Databricks-Certified-Data-Engineer-Associate Actual Dumps

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Databricks Certified Data Engineer Associate certification exam is a rigorous assessment of a candidate's knowledge and skills in various areas of data engineering. Databricks-Certified-Data-Engineer-Associate Exam covers topics such as data ingestion, data transformation, data storage, data processing, and data analysis. Candidates must demonstrate proficiency in working with various Databricks tools, including Delta Lake, Spark SQL, and Apache Spark.

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Databricks Certified Data Engineer Associate Exam Sample Questions (Q46-Q51):

NEW QUESTION # 46
A data analyst has created a Delta table sales that is used by the entire data analysis team. They want help from the data engineering team to implement a series of tests to ensure the data is clean. However, the data engineering team uses Python for its tests rather than SQL.
Which of the following commands could the data engineering team use to access sales in PySpark?

A. There is no way to share data between PySpark and SQL.
B. spark.table("sales")
C. SELECT * FROM sales
D. spark.delta.table("sales")
E. spark.sql("sales")

Answer: B

Explanation:
Explanation
https://spark.apache.org/docs/3.2.1/api/python/reference/api/pyspark.sql.SparkSession.table.html

NEW QUESTION # 47
A data engineer needs to apply custom logic to string column city in table stores for a specific use case. In order to apply this custom logic at scale, the data engineer wants to create a SQL user-defined function (UDF).
Which of the following code blocks creates this SQL UDF?

Answer: A

Explanation:
Explanation
https://www.databricks.com/blog/2021/10/20/introducing-sql-user-defined-functions.html

NEW QUESTION # 48
A data engineer has configured a Structured Streaming job to read from a table, manipulate the data, and then perform a streaming write into a new table.
The cade block used by the data engineer is below:

If the data engineer only wants the query to execute a micro-batch to process data every 5 seconds, which of the following lines of code should the data engineer use to fill in the blank?

A. trigger(processingTime="5 seconds")
B. trigger("5 seconds")
C. trigger(continuous="5 seconds")
D. trigger()
E. trigger(once="5 seconds")

Answer: A

Explanation:
Explanation
# ProcessingTime trigger with two-seconds micro-batch interval
df.writeStream
format("console")
trigger(processingTime='2 seconds')
start()
https://spark.apache.org/docs/latest/structured-streaming-programming-guide.html#triggers

NEW QUESTION # 49
A data engineer is maintaining a data pipeline. Upon data ingestion, the data engineer notices that the source data is starting to have a lower level of quality. The data engineer would like to automate the process of monitoring the quality level.
Which of the following tools can the data engineer use to solve this problem?

A. Delta Lake
B. Auto Loader
C. Data Explorer
D. Unity Catalog
E. Delta Live Tables

Answer: E

NEW QUESTION # 50
Which of the following statements regarding the relationship between Silver tables and Bronze tables is always true?

A. Silver tables contain aggregates while Bronze data is unaggregated.
B. Silver tables contain a more refined and cleaner view of data than Bronze tables.
C. Silver tables contain less data than Bronze tables.
D. Silver tables contain more data than Bronze tables.
E. Silver tables contain a less refined, less clean view of data than Bronze data.

Answer: B

Explanation:
In a medallion architecture, a common data design pattern for lakehouses, data flows from Bronze to Silver to Gold layer tables, with each layer progressively improving the structure and quality of data. Bronze tables store raw data ingested from various sources, while Silver tables apply minimal transformations and cleansing to create an enterprise view of the data. Silver tables can also join and enrich data from different Bronze tables to provide a more complete and consistent view of the data. Therefore, option D is the correct answer, as Silver tables contain a more refined and cleaner view of data than Bronze tables. Option A is incorrect, as it is the opposite of the correct answer. Option B is incorrect, as Silver tables do not necessarily contain aggregates, but can also store detailed records. Option C is incorrect, as Silver tables may contain less data than Bronze tables, depending on the transformations and cleansing applied. Option E is incorrect, as Silver tables may contain more data than Bronze tables, depending on the joins and enrichments applied. Reference: What is a Medallion Architecture?, Transforming Bronze Tables in Silver Tables, What is the medallion lakehouse architecture?

NEW QUESTION # 51
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NEW DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE TEST TIPS - DATABRICKS-CERTIFIED-DATA-ENGINEER-ASSOCIATE ACTUAL DUMPS

New Databricks-Certified-Data-Engineer-Associate Test Tips - Databricks-Certified-Data-Engineer-Associate Actual Dumps