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Databricks Exam Databricks Certified Data Analyst Associate Topic 1 Question 18 Discussion

Actual exam question for Databricks's Databricks Certified Data Analyst Associate exam
Question #: 18
Topic #: 1
[All Databricks Certified Data Analyst Associate Questions]

Which of the following statements describes descriptive statistics?

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Suggested Answer: B

Based on the images you sent, the two statements are SQL queries for different types of joins between the customers and orders tables. A join is a way of combining the rows from two table references based on some criteria. The join type determines how the rows are matched and what kind of result set is returned. The first statement is a query for a LEFT SEMI JOIN, which returns only the rows from the left table reference (customers) that have a match with the right table reference (orders) on the join condition (customer_id). The second statement is a query for a LEFT ANTI JOIN, which returns only the rows from the left table reference (customers) that have no match with the right table reference (orders) on the join condition (customer_id). Therefore, the result sets for the two statements will differ in the following way:

The first statement will return a subset of the customers table that contains only the customers who have placed at least one order. The number of rows returned will be less than or equal to the number of rows in the customers table, depending on how many customers have orders. The number of columns returned will be the same as the number of columns in the customers table, as the LEFT SEMI JOIN does not include any columns from the orders table.

The second statement will return a subset of the customers table that contains only the customers who have not placed any order. The number of rows returned will be less than or equal to the number of rows in the customers table, depending on how many customers have no orders. The number of columns returned will be the same as the number of columns in the customers table, as the LEFT ANTI JOIN does not include any columns from the orders table.

The other options are not correct because:

A) The first statement will not return all data from the customers table, as it will exclude the customers who have no orders. The second statement will not return all data from the orders table, as it will exclude the orders that have a matching customer. Neither statement will fill in any missing data with NULL, as they do not return any columns from the other table.

C) There is a difference between the result sets for both statements, as explained above. The LEFT SEMI JOIN and the LEFT ANTI JOIN are not equivalent operations and will produce different outputs.

D) Both statements will not fail, as Databricks SQL does support those join types. Databricks SQL supports various join types, including INNER, LEFT OUTER, RIGHT OUTER, FULL OUTER, LEFT SEMI, LEFT ANTI, and CROSS. You can also use NATURAL, USING, or LATERAL keywords to specify different join criteria.

E) The first statement will not return only the customer_id from the orders table, as it will return all columns from the customers table. The second statement is correct, but it is not the only difference between the result sets.


Contribute your Thoughts:

Karima
2 months ago
Wait, there's more than one type of statistics? I thought it was just 'the numbers that make my head hurt'.
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Arleen
9 days ago
It doesn't make predictions like inferential statistics.
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Bernardine
18 days ago
It helps analysts understand the main features of a data set.
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Osvaldo
26 days ago
Descriptive statistics uses summary statistics to describe and summarize data.
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Joesph
2 months ago
Easy peasy! Option A all the way. Descriptive stats are like the Cliff Notes of data analysis - just the highlights, no fancy stuff.
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Dong
16 days ago
Option A is definitely the way to go when it comes to descriptive statistics.
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Kaycee
25 days ago
Definitely, it's a great way to quickly understand the main features of a data set.
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Vi
1 months ago
Yeah, it's like getting the main points without diving too deep into the details.
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Reynalda
1 months ago
I agree, descriptive statistics are all about summarizing data with summary statistics.
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Maryrose
2 months ago
Hmm, this is a tricky one. I was leaning towards Option B, but now I'm not so sure. Maybe I need to brush up on my stats knowledge...
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Peggie
2 months ago
I was also thinking Option A, but Option D also sounds like it could be right. Descriptive statistics does use summary stats to categorize data, right?
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Aron
1 months ago
Option D is incorrect. Descriptive statistics does not categorically describe data, but rather quantitatively describes and summarizes it.
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Art
2 months ago
Option A is correct. Descriptive statistics uses summary statistics to quantitatively describe and summarize data.
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Brandee
2 months ago
Option A seems to be the correct answer. Descriptive statistics is all about using summary statistics to describe and summarize data.
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Teresita
2 months ago
I'm not sure, but I think it's either A or D.
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James
3 months ago
I agree with Tish, descriptive statistics uses summary statistics to describe data.
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Tish
3 months ago
I think the answer is A.
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