Get Ready to Pass the Associate-Developer-Apache-Spark exam with Databricks Latest Practice Exam [Q51-Q65]

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Get Ready to Pass the Associate-Developer-Apache-Spark exam with Databricks Latest Practice Exam

Get Prepared for Your Associate-Developer-Apache-Spark Exam With Actual Databricks Study Guide!

NEW QUESTION 51
Which of the following describes a difference between Spark’s cluster and client execution modes?

 
 
 
 
 

NEW QUESTION 52
Which of the following is a viable way to improve Spark’s performance when dealing with large amounts of data, given that there is only a single application running on the cluster?

 
 
 
 
 

NEW QUESTION 53
Which of the following code blocks returns a DataFrame where columns predError and productId are removed from DataFrame transactionsDf?
Sample of DataFrame transactionsDf:
1.+————-+———+—–+——-+———+—-+
2.|transactionId|predError|value|storeId|productId|f |
3.+————-+———+—–+——-+———+—-+
4.|1 |3 |4 |25 |1 |null|
5.|2 |6 |7 |2 |2 |null|
6.|3 |3 |null |25 |3 |null|
7.+————-+———+—–+——-+———+—-+

 
 
 
 
 

NEW QUESTION 54
The code block displayed below contains an error. The code block should combine data from DataFrames itemsDf and transactionsDf, showing all rows of DataFrame itemsDf that have a matching value in column itemId with a value in column transactionsId of DataFrame transactionsDf. Find the error.
Code block:
itemsDf.join(itemsDf.itemId==transactionsDf.transactionId)

 
 
 
 
 

NEW QUESTION 55
Which of the following describes the role of tasks in the Spark execution hierarchy?

 
 
 
 
 

NEW QUESTION 56
Which of the following code blocks returns a copy of DataFrame transactionsDf that only includes columns transactionId, storeId, productId and f?
Sample of DataFrame transactionsDf:
1.+————-+———+—–+——-+———+—-+
2.|transactionId|predError|value|storeId|productId| f|
3.+————-+———+—–+——-+———+—-+
4.| 1| 3| 4| 25| 1|null|
5.| 2| 6| 7| 2| 2|null|
6.| 3| 3| null| 25| 3|null|
7.+————-+———+—–+——-+———+—-+

 
 
 
 
 

NEW QUESTION 57
Which of the following code blocks concatenates rows of DataFrames transactionsDf and transactionsNewDf, omitting any duplicates?

 
 
 
 
 

NEW QUESTION 58
Which of the following code blocks reads JSON file imports.json into a DataFrame?

 
 
 
 
 

NEW QUESTION 59
Which of the following code blocks immediately removes the previously cached DataFrame transactionsDf from memory and disk?

 
 
 
 
 

NEW QUESTION 60
The code block displayed below contains an error. The code block should return the average of rows in column value grouped by unique storeId. Find the error.
Code block:
transactionsDf.agg(“storeId”).avg(“value”)

 
 
 
 
 

NEW QUESTION 61
Which of the following code blocks returns a DataFrame with approximately 1,000 rows from the 10,000-row DataFrame itemsDf, without any duplicates, returning the same rows even if the code block is run twice?

 
 
 
 
 

NEW QUESTION 62
Which of the following describes a shuffle?

 
 
 
 
 

NEW QUESTION 63
Which of the following describes characteristics of the Spark UI?

 
 
 
 
 

NEW QUESTION 64
Which of the following code blocks saves DataFrame transactionsDf in location /FileStore/transactions.csv as a CSV file and throws an error if a file already exists in the location?

 
 
 
 
 

NEW QUESTION 65
Which of the following code blocks returns a single-column DataFrame showing the number of words in column supplier of DataFrame itemsDf?
Sample of DataFrame itemsDf:
1.+——+—————————–+——————-+
2.|itemId|attributes |supplier |
3.+——+—————————–+——————-+
4.|1 |[blue, winter, cozy] |Sports Company Inc.|
5.|2 |[red, summer, fresh, cooling]|YetiX |
6.|3 |[green, summer, travel] |Sports Company Inc.|
7.+——+—————————–+——————-+

 
 
 
 
 

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