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Databricks Certified Professional Data Engineer Exam Sample Questions (Q88-Q93):

NEW QUESTION # 88
What is the best way to query external csv files located on DBFS Storage to inspect the data using SQL?

  • A. SELECT * FROM 'dbfs:/location/csv_files/' FORMAT = 'CSV'
  • B. You can not query external files directly, us COPY INTO to load the data into a table first
  • C. SELECT * FROM 'dbfs:/location/csv_files/' USING CSV
  • D. SELECT CSV. * from 'dbfs:/location/csv_files/'
  • E. SELECT * FROM CSV. 'dbfs:/location/csv_files/'

Answer: E

Explanation:
Explanation
Answer is, SELECT * FROM CSV. 'dbfs:/location/csv_files/'
you can query external files stored on the storage using below syntax
SELECT * FROM format.`/Location`
format - CSV, JSON, PARQUET, TEXT


NEW QUESTION # 89
A data engineer has three notebooks in an ELT pipeline. The notebooks need to be executed in a specific order
for the pipeline to complete successfully. The data engineer would like to use Delta Live Tables to manage this
process.
Which of the following steps must the data engineer take as part of implementing this pipeline using Delta
Live Tables?

  • A. They need to create a Delta Live Tables pipeline from the Jobs page
  • B. They need to refactor their notebook to use Python and the dlt library
  • C. They need to create a Delta Live tables pipeline from the Compute page
  • D. They need to create a Delta Live Tables pipeline from the Data page
  • E. They need to refactor their notebook to use SQL and CREATE LIVE TABLE keyword

Answer: A


NEW QUESTION # 90
Which of the following SQL command can be used to insert or update or delete rows based on a condition to check if a row(s) exists?

  • A. UPDATE table_name
  • B. INSERT INTO OVERWRITE table_name
  • C. COPY INTO table_name
  • D. INSERT IF EXISTS table_name
  • E. MERGE INTO table_name

Answer: E

Explanation:
Explanation
here is the additional documentation for your review.
https://docs.databricks.com/spark/latest/spark-sql/language-manual/delta-merge-into.html
1.MERGE INTO target_table_name [target_alias]
2. USING source_table_reference [source_alias]
3. ON merge_condition
4. [ WHEN MATCHED [ AND condition ] THEN matched_action ] [...]
5. [ WHEN NOT MATCHED [ AND condition ] THEN not_matched_action ] [...]
6.
7.matched_action
8. { DELETE |
9. UPDATE SET * |
10. UPDATE SET { column1 = value1 } [, ...] }
11.
12.not_matched_action
13. { INSERT * |
14. INSERT (column1 [, ...] ) VALUES (value1 [, ...])


NEW QUESTION # 91
You are working on a email spam filtering assignment, while working on this you find there is new word e.g.
HadoopExam comes in email, and in your solutions you never come across this word before, hence probability
of this words is coming in either email could be zero. So which of the following algorithm can help you to
avoid zero probability?

  • A. Laplace Smoothing
  • B. Logistic Regression
  • C. All of the above
  • D. Naive Bayes

Answer: A

Explanation:
Explanation
Laplace smoothing is a technique for parameter estimation which accounts for unobserved events. It is more
robust and will not fail completely when data that has never been observed in training shows up.


NEW QUESTION # 92
What is the purpose of the silver layer in a Multi hop architecture?

  • A. Replaces a traditional data lake
  • B. Eliminates duplicate data, quarantines bad data
  • C. Refined views with aggregated data
  • D. Efficient storage and querying of full, unprocessed history of data
  • E. Optimized query performance for business-critical data

Answer: B

Explanation:
Explanation
Medallion Architecture - Databricks
Silver Layer:
1. Reduces data storage complexity, latency, and redundency
2. Optimizes ETL throughput and analytic query performance
3. Preserves grain of original data (without aggregation)
4. Eliminates duplicate records
5. production schema enforced
6. Data quality checks, quarantine corrupt data
Exam focus: Please review the below image and understand the role of each layer(bronze, silver, gold) in medallion architecture, you will see varying questions targeting each layer and its purpose.
Sorry I had to add the watermark some people in Udemy are copying my content.
A diagram of a house Description automatically generated with low confidence
Databricks-Certified-Professional-Data-Engineer-511d02a128b10448fff6138801be4701.jpg


NEW QUESTION # 93
......

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