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Databricks-Certified-Data-Engineer-Associate Question and answers Include

Total Questions: 153 Q&A's
Single Choice: 149 Q&A's
Multiple Choice: 4 Q&A's

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Databricks-Certified-Data-Engineer-Associate Questions and Answers

Question # 1

Calculate the total sales amount for each region and store the results in a new dataframe called region_sales.

Given the expected result:

Which code will generate the expected result?

A.

region_sales = sales_df.groupBy("region").agg(sum("sales_amountM).alias("total_sales_amount"))

B.

region_sales = sales_df. sum ("salen_aiTiount") . groupBy ("region") .alias ("total_sale3_amount")

C.

region_sales= sales_df.groupBy("category").sum(nsales_amount").alias("t_otal_sales_amounl")

D.

region sales - sales_df.agg(sum("sales_amount").groupBy("region").alias("total sales amount"))

Question # 2

A data organization leader is upset about the data analysis team’s reports being different from the data engineering team’s reports. The leader believes the siloed nature of their organization’s data engineering and data analysis architectures is to blame.

Which of the following describes how a data lakehouse could alleviate this issue?

A.

Both teams would autoscale their work as data size evolves

B.

Both teams would use the same source of truth for their work

C.

Both teams would reorganize to report to the same department

D.

Both teams would be able to collaborate on projects in real-time

E.

Both teams would respond more quickly to ad-hoc requests

Question # 3

A data engineer needs to ingest from both streaming and batch sources for a firm that relies on highly accurate data. Occasionally, some of the data picked up by the sensors that provide a streaming input are outside the expected parameters. If this occurs, the data must be dropped, but the stream should not fail.

Which feature of Delta Live Tables meets this requirement?

A.

Monitoring

B.

Change Data Capture

C.

Expectations

D.

Error Handling

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Databricks Databricks-Certified-Data-Engineer-Associate Exam Dumps FAQs

What is the Databricks Databricks-Certified-Data-Engineer-Associate exam?

The Databricks Databricks-Certified-Data-Engineer-Associate exam assesses an individuals ability to use the Databricks Lakehouse Platform for introductory data engineering tasks.

What is the format of the Databricks Databricks-Certified-Data-Engineer-Associate exam?

The Databricks Databricks-Certified-Data-Engineer-Associate exam is delivered online in a proctored format. You'll have 90 minutes to answer 45 multiple-choice questions.

What is the focus of the Databricks Databricks-Certified-Data-Engineer-Associate exam?

The Databricks-Certified-Data-Engineer-Associate certification exam focuses on essential data engineering tasks such as data ingestion, transformation, and storage. It covers topics like the use of Apache Spark, optimizing and managing data pipelines, implementing ETL processes, and ensuring data quality.

Is the Databricks Certification Databricks-Certified-Data-Engineer-Associate exam easy?

The difficulty level depends on your existing data engineering experience and familiarity with Databricks. While there are no formal prerequisites, Databricks recommends at least 6 months of hands-on experience with the covered tasks.

How can I renew my Databricks Databricks-Certified-Data-Engineer-Associate certification?

The Databricks-Certified-Data-Engineer-Associate certification is valid for two years from the passing date. To renew, you need to retake and pass the current version of the exam before it expires.

What is the difference between Databricks-Certified-Data-Engineer-Associate and Databricks-Certified-Professional-Data-Engineer exams?

The Databricks-Certified-Data-Engineer-Associate Exam focuses on basic data engineering tasks with Databricks. On the other hand, the Databricks-Certified-Professional-Data-Engineer Exam targets more advanced data engineering concepts and requires a deeper understanding of the platform and its capabilities.

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