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Databricks Certified Data Engineer Associate Exam covers a wide range of topics, including data engineering fundamentals, data ingestion and processing, data warehousing and data lakes, data transformation and manipulation, and data quality and governance. Databricks-Certified-Data-Engineer-Associate Exam is designed to provide a comprehensive understanding of Databricks and its features, and to ensure that candidates are equipped with the necessary skills to work with Databricks effectively.
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Databricks Certified Data Engineer Associate Exam Sample Questions (Q67-Q72):
NEW QUESTION # 67
A data engineer has been given a new record of data:
id STRING = 'a1'
rank INTEGER = 6
rating FLOAT = 9.4
Which of the following SQL commands can be used to append the new record to an existing Delta table my_table?
- A. my_table UNION VALUES ('a1', 6, 9.4)
- B. UPDATE VALUES ('a1', 6, 9.4) my_table
- C. INSERT INTO my_table VALUES ('a1', 6, 9.4)
- D. UPDATE my_table VALUES ('a1', 6, 9.4)
- E. INSERT VALUES ( 'a1' , 6, 9.4) INTO my_table
Answer: C
Explanation:
To append a new record to an existing Delta table, you can use the INSERT INTO statement with the VALUES clause. This statement will insert one or more rows into the table with the specified values. Option A is the only code block that follows this syntax correctly. Option B is incorrect, as it uses the UNION operator, which will return a new table that is the union of two tables, not append to an existing table. Option C is incorrect, as it uses the INSERT VALUES statement, which is not a valid SQL syntax. Option D is incorrect, as it uses the UPDATE statement, which will modify existing rows in the table, not append new rows. Option E is incorrect, as it uses the UPDATE VALUES statement, which is also not a valid SQL syntax. Reference: Insert data into a table using SQL | Databricks on AWS, Insert data into a table using SQL - Azure Databricks, Delta Lake Quickstart - Azure Databricks
NEW QUESTION # 68
Which of the following Structured Streaming queries is performing a hop from a Silver table to a Gold table?
- A.
- B.
- C.
- D.
- E.
Answer: D
NEW QUESTION # 69
Which of the following describes when to use the CREATE STREAMING LIVE TABLE (formerly CREATE INCREMENTAL LIVE TABLE) syntax over the CREATE LIVE TABLE syntax when creating Delta Live Tables (DLT) tables using SQL?
- A. CREATE STREAMING LIVE TABLE should be used when the subsequent step in the DLT pipeline is static.
- B. CREATE STREAMING LIVE TABLE should be used when the previous step in the DLT pipeline is static.
- C. CREATE STREAMING LIVE TABLE should be used when data needs to be processed incrementally.
- D. CREATE STREAMING LIVE TABLE is redundant for DLT and it does not need to be used.
- E. CREATE STREAMING LIVE TABLE should be used when data needs to be processed through complicated aggregations.
Answer: C
Explanation:
A streaming live table or view processes data that has been added only since the last pipeline update. Streaming tables and views are stateful; if the defining query changes, new data will be processed based on the new query and existing data is not recomputed. This is useful when data needs to be processed incrementally, such as when ingesting streaming data sources or performing incremental loads from batch data sources. A live table or view, on the other hand, may be entirely computed when possible to optimize computation resources and time. This is suitable when data needs to be processed in full, such as when performing complex transformations or aggregations that require scanning all the data. Reference: Difference between LIVE TABLE and STREAMING LIVE TABLE, CREATE STREAMING TABLE, Load data using streaming tables in Databricks SQL.
NEW QUESTION # 70
A data engineer that is new to using Python needs to create a Python function to add two integers together and return the sum?
Which of the following code blocks can the data engineer use to complete this task?
- A.
- B.
- C.
- D.
- E.
Answer: C
Explanation:
Explanation
https://www.w3schools.com/python/python_functions.asp
NEW QUESTION # 71
Which of the following commands will return the number of null values in the member_id column?
- A. SELECT count(member_id) - count_null(member_id) FROM my_table;
- B. SELECT count_if(member_id IS NULL) FROM my_table;
- C. SELECT null(member_id) FROM my_table;
- D. SELECT count(member_id) FROM my_table;
- E. SELECT count_null(member_id) FROM my_table;
Answer: B
Explanation:
Explanation
https://docs.databricks.com/en/sql/language-manual/functions/count.html Returns A BIGINT.
If * is specified also counts row containing NULL values.
If expr are specified counts only rows for which all expr are not NULL.
If DISTINCT duplicate rows are not counted.
NEW QUESTION # 72
......
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