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[General] PCAD-31-02 Valid Practice Questions & PCAD-31-02 Training Materials

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【General】 PCAD-31-02 Valid Practice Questions & PCAD-31-02 Training Materials

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q81-Q86):NEW QUESTION # 81
Which practices help ensure secure and effective execution of SQL queries in Python scripts?
(Choose all that apply)
  • A. Using string concatenation to insert variables into SQL
  • B. Wrapping SQL commands in try-except blocks
  • C. Employing parameterized statements for user-supplied data
  • D. Using string formatting to build SQL queries dynamically
Answer: B,C

NEW QUESTION # 82
Why is it important to adjust data presentations based on the audience's background?
  • A. To ensure the data is understood and supports actionable insights
  • B. To include as many technical terms as possible
  • C. To avoid using charts altogether
  • D. To simplify all metrics to percentages only
Answer: A

NEW QUESTION # 83
When fetching DATETIME values from a SQL database into Python, which Python data type is most appropriate for storing and manipulating these values?
  • A. float
  • B. str
  • C. time.struct_time
  • D. datetime.datetime
Answer: D

NEW QUESTION # 84
Which methods can be used to validate data types and structure in a Pandas DataFrame?
(Choose two)
  • A. df.info()
  • B. df.to_csv()
  • C. df.dtypes
  • D. df.memory_usage()
Answer: A,C

NEW QUESTION # 85
Which best practices help enhance database security when building Python data analysis pipelines?
(Choose two)
  • A. Construct queries using f-strings for readability
  • B. Store credentials securely using environment variables
  • C. Limit database user permissions to only necessary operations
  • D. Sanitize input by replacing dangerous characters with asterisks
Answer: B,C

NEW QUESTION # 86
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