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DEA-C01 Exam Dumps : SnowPro Advanced: Data Engineer Certification Exam

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Snowflake DEA-C01 Exam Dumps FAQs

Q. # 1: What is the Snowflake DEA-C01 Exam?

The Snowflake DEA-C01 Exam, also known as the SnowPro Advanced: Data Engineer Certification, tests advanced knowledge and skills in data engineering using Snowflake.

Q. # 2: Who should take the Snowflake DEA-C01 Exam?

The Snowflake DEA-C01 exam is ideal for data engineers with experience in using Snowflake for data warehousing and data lake solutions. It validates your ability to design, develop, and manage complex data pipelines on the platform.

Q. # 3: What topics are covered in the Snowflake DEA-C01 Exam?

The Snowflake DEA-C01 exam covers Data Movement, Performance Optimization, Storage & Data Protection, Security, and Data Transformation.

Q. # 4: How many questions are on the Snowflake DEA-C01 Exam?

The Snowflake DEA-C01 exam consists of 50-60 questions.

Q. # 5: How long is the Snowflake DEA-C01 Exam?

The Snowflake DEA-C01 exam duration is 2 hours.

Q. # 6: What is the passing score for the Snowflake DEA-C01 Exam?

The passing score for the Snowflake DEA-C01 exam is 70-75%.

Q. # 7: What is the differebce between Snowflake DEA-C01 and ADA-B01 Exams?

The Snowflake DEA-C01 and ADA-B01 exams are both part of Snowflake's certification program, but they target different skill sets and roles:

  • Snowflake DEA-C01 Exam: The Snowflake DEA-C01 Exam focuses on data movement, performance optimization, storage and data protection, security, and data transformation. It tests advanced knowledge and skills in applying comprehensive data engineering principles using Snowflake, making it essential for Data Engineers and Software Engineers.
  • Snowflake ADA-B01 Exam: The Snowflake ADA-B01 Exam, on the other hand, concentrates on data modeling, data integration, data governance, and data warehousing. It evaluates advanced knowledge and skills in designing and implementing data architectures using Snowflake, specifically for Data Architects and experienced Data Engineers.

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SnowPro Advanced: Data Engineer Certification Exam Questions and Answers

Question 1

The JSON below is stored in a variant column named v in a table named jCustRaw:

Which query will return one row per team member (stored in the teamMembers array) along all of the attributes of each team member?

A)

B)

C)

D)

Options:

A.

Option A

B.

Option B

C.

Option C

D.

Option D

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Question 2

A Data Engineer has developed a dashboard that will issue the same SQL select clause to Snowflake every 12 hours.

---will Snowflake use the persisted query results from the result cache provided that the underlying data has not changed^

Options:

A.

12 hours

B.

24 hours

C.

14 days

D.

31 days

Question 3

A CSV file around 1 TB in size is generated daily on an on-premise server A corresponding table. Internal stage, and file format have already been created in Snowflake to facilitate the data loading process

How can the process of bringing the CSV file into Snowflake be automated using the LEAST amount of operational overhead?

Options:

A.

Create a task in Snowflake that executes once a day and runs a copy into statement that references the internal stage The internal stage will read the files directly

from the on-premise server and copy the newest file into the table from the on-premise server to the Snowflake table

B.

On the on-premise server schedule a SQL file to run using SnowSQL that executes a PUT to push a specific file to the internal stage Create a task that executes once a

day m Snowflake and runs a OOPY WTO statement that references the internal stage Schedule the task to start after the file lands in the internal stage

C.

On the on-premise server schedule a SQL file to run using SnowSQL that executes a PUT to push a specific file to the internal stage. Create a pipe that runs a copy

into statement that references the internal stage Snowpipe auto-ingest will automatically load the file from the internal stage when the new file lands in the internal

stage.

D.

On the on premise server schedule a Python file that uses the Snowpark Python library. The Python script will read the CSV data into a DataFrame and generate an

insert into statement that will directly load into the table The script will bypass the need to move a file into an internal stage