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PCAD-31-02 Reliable Study Notes - Practice PCAD-31-02 Engine
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q130-Q135):NEW QUESTION # 130
Which SQL clause is most appropriate when you need to filter records that meet a specific condition during data retrieval in an analytics pipeline?
- A. GROUP BY
- B. HAVING
- C. ORDER BY
- D. WHERE
Answer: D
NEW QUESTION # 131
What is the primary difference between the == operator and the is operator in Python when used in a data pipeline?
- A. is checks value equality, while == checks for data type compatibility
- B. == checks identity, while is compares memory addresses
- C. == compares values for equality, while is checks for object identity
- D. is compares dictionary keys, while == compares keys and values
Answer: C
NEW QUESTION # 132
Which actions are considered best practices when managing datasets in Python using pandas?
(Choose two)
- A. Use .info() to understand dataset structure
- B. Replace missing values with hardcoded zeros without analysis
- C. Always convert all columns to strings
- D. Use .describe() for summary statistics
Answer: A,D
NEW QUESTION # 133
What is the purpose of using df.loc[2:5, 'column1'] in a Pandas DataFrame?
- A. Returns rows 2 to 4 in 'column1'
- B. Returns rows 2 through 5 in 'column1'
- C. Returns the entire DataFrame
- D. Returns a new DataFrame excluding 'column1'
Answer: B
NEW QUESTION # 134
Which Python constructs are useful for comparing and managing object identity in a data pipeline?
(Choose all that apply)
- A. == operator for checking value equivalence
- B. id() function to retrieve unique object identifiers
- C. str() function to convert data formats
- D. is operator for memory-level comparison
Answer: B,D
NEW QUESTION # 135
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