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Databricks Exam Databricks-Certified-Data-Engineer-Associate Topic 2 Question 25 Discussion

Actual exam question for Databricks's Databricks-Certified-Data-Engineer-Associate exam
Question #: 25
Topic #: 2
[All Databricks-Certified-Data-Engineer-Associate Questions]

A data engineering team has two tables. The first table march_transactions is a collection of all retail transactions in the month of March. The second table april_transactions is a collection of all retail transactions in the month of April. There are no duplicate records between the tables.

Which of the following commands should be run to create a new table all_transactions that contains all records from march_transactions and april_transactions without duplicate records?

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Suggested Answer: D

In Databricks, you can use different languages within the same notebook by using magic commands. Magic commands are special commands that start with a percentage sign (%) and allow you to change the behavior of the cell. To use SQL within a cell of a Python notebook, you can add %sql to the first line of the cell. This will tell Databricks to interpret the rest of the cell as SQL code and execute it against the default database. You can also specify a different database by using the USE statement. The result of the SQL query will be displayed as a table or a chart, depending on the output mode. You can also assign the result to a Python variable by using the -o option. For example, %sql -o df SELECT * FROM my_table will run the SQL query and store the result as a pandas DataFrame in the Python variable df. Option A is incorrect, as it is possible to use SQL in a Python notebook using magic commands. Option B is incorrect, as attaching the cell to a SQL endpoint is not necessary and will not change the language of the cell. Option C is incorrect, as simply writing SQL syntax in the cell will result in a syntax error, as the cell will still be interpreted as Python code. Option E is incorrect, as changing the default language of the notebook to SQL will affect all the cells, not just one.Reference:Use SQL in Notebooks - Knowledge Base - Noteable, [SQL magic commands - Databricks], [Databricks SQL Guide - Databricks]


by Phil at May 07, 2024, 01:54 PM

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Ammie
3 days ago
Hmm, OUTER JOIN would include all records from both tables, even if there are duplicates. Not the best choice for this scenario.
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Alecia
9 days ago
I agree with Rickie. UNION is the way to go here, as we want to combine the two tables without any duplicates.
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Arlean
12 days ago
I'm not sure, but I think B makes sense because it combines the records from both tables.
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Rickie
12 days ago
Option B is the correct answer. The UNION operator combines the results of two queries while removing any duplicate records.
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Beatriz
13 days ago
I agree with Iola, UNION is used to combine records without duplicates.
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Iola
16 days ago
I think the answer is B.
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