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Exam Certified Associate Developer for Apache Spark topic 1 question 100 discussion

Actual exam question from Databricks's Certified Associate Developer for Apache Spark
Question #: 100
Topic #: 1
[All Certified Associate Developer for Apache Spark Questions]

The code block shown below contains an error. The code block is intended to return the exact number of distinct values in column division in DataFrame storesDF. Identify the error.

Code block:

storesDF.agg(approx_count_distinct(col(“division”)).alias(“divisionDistinct”))

  • A. The approx_count_distinct() operation needs a second argument to set the rsd parameter to ensure it returns the exact number of distinct values.
  • B. There is no alias() operation for the approx_count_distinct() operation's output.
  • C. There is no way to return an exact distinct number in Spark because the data Is distributed across partitions.
  • D. The approx_count_distinct()operation is not a standalone function - it should be used as a method from a Column object.
  • E. The approx_count_distinct() operation cannot determine an exact number of distinct values in a column.
Show Suggested Answer Hide Answer
Suggested Answer: E 🗳️
by Ram459 at Aug. 16, 2023, 7:32 p.m.

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bp_a_user
3 months, 2 weeks ago
Selected Answer: A
I can write approx_count_distinct("value",0)
upvoted 1 times
bp_a_user
3 months, 2 weeks ago
I correct myself: min value is 3.4E-5 --> so not possible!
upvoted 1 times
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azure_bimonster
8 months, 3 weeks ago
Selected Answer: E
storesDF.agg(countDistinct("division").alias("divisionDistinct")) can give an exact distinct value unlike E option
upvoted 1 times
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thanab
1 year, 1 month ago
E The error in the code block is that the approx_count_distinct() operation cannot determine an exact number of distinct values in a column.
upvoted 2 times
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Ram459
1 year, 2 months ago
Selected Answer: E
can not get exact distinct using apox function
upvoted 3 times
newusername
11 months, 4 weeks ago
agree, should be E
upvoted 1 times
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