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Exam Certified Associate Developer for Apache Spark All Questions

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Exam Certified Associate Developer for Apache Spark topic 1 question 71 discussion

Actual exam question from Databricks's Certified Associate Developer for Apache Spark
Question #: 71
Topic #: 1
[All Certified Associate Developer for Apache Spark Questions]

The code block shown below should return a new DataFrame where single quotes in column storeSlogan have been replaced with double quotes. Choose the response that correctly fills in the numbered blanks within the code block to complete this task.

A sample of DataFrame storesDF is below:



Code block:

storesDF.__1__(__2__, __3__(__4__, __5__, __6__))

  • A. 1. withColumn
    2. "storeSlogan"
    3. regexp_extract
    4. col("storeSlogan")
    5. "\""
    6. "'"
  • B. 1. newColumn
    2. storeSlogan
    3. regexp_extract
    4. col(storeSlogan)
    5. "\""
    6. "'"
  • C. 1. withColumn
    2. "storeSlogan"
    3. regexp_replace
    4. col("storeSlogan")
    5. "\""
    6. "'"
  • D. 1. withColumn
    2. "storeSlogan"
    3. regexp_replace
    4. col("storeSlogan")
    5. "'"
    6. "\""
  • E. 1. withColumn
    2. "storeSlogan"
    3. regexp_extract
    4. col("storeSlogan")
    5. "'"
    6. "\""
Show Suggested Answer Hide Answer
Suggested Answer: D 🗳️
by cookiemonster42 at July 31, 2023, 9:58 p.m.

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Chosen Answer:
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azure_bimonster
9 months, 3 weeks ago
Selected Answer: D
To me it would like this: storesDF.withColumn("storeSlogan", regexp_replace(col("storeSlogan"), " ' ", "\""))
upvoted 1 times
...
cookiemonster42
1 year, 3 months ago
Selected Answer: D
D is correct, we need a replacement function with first argument "'"
upvoted 2 times
...

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