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Exam Certified Data Engineer Professional All Questions

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Exam Certified Data Engineer Professional topic 1 question 87 discussion

Actual exam question from Databricks's Certified Data Engineer Professional
Question #: 87
Topic #: 1
[All Certified Data Engineer Professional Questions]

Which of the following technologies can be used to identify key areas of text when parsing Spark Driver log4j output?

  • A. Regex
  • B. Julia
  • C. pyspsark.ml.feature
  • D. Scala Datasets
  • E. C++
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Suggested Answer: A 🗳️

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Chosen Answer:
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vctrhugo
9 months, 3 weeks ago
Selected Answer: A
It allows us to define patterns that match the structure of the log entries and capture relevant data.
upvoted 3 times
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aragorn_brego
1 year ago
Selected Answer: A
Regular expressions (regex) can be used to identify and extract patterns from text data, which makes them very useful for parsing log files like the Spark Driver's log4j output. By defining specific regex patterns, you can search for error messages, timestamps, specific log levels, or any other text that follows a particular format within the log files.
upvoted 4 times
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sturcu
1 year ago
Selected Answer: A
Regex to extract text
upvoted 3 times
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sturcu
1 year ago
Selected Answer: E
Regex to extract text. C++ makes no sense in this context
upvoted 2 times
sturcu
1 year ago
I meant A
upvoted 2 times
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hm358
1 year ago
Selected Answer: A
regex is for string identification
upvoted 2 times
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mouad_attaqi
1 year, 1 month ago
Selected Answer: A
Using regex, we can identify key ans values areas
upvoted 4 times
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sturcu
1 year, 1 month ago
Why C++, why not python or Java? Plus there are tools om parsing the log4j output like Chainsaw and xmlstarlet.
upvoted 1 times
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Community vote distribution
A (35%)
C (25%)
B (20%)
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