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| Section | Weight | Objectives |
|---|
| Topic 1: SQL and Data Management | | |
| Topic 2: Data Acquisition and Pre-Processing | 29.2% | |
| Topic 3: Exploratory Data Analysis | | |
| Topic 4: Data Visualization and Communication | | |
| Topic 5: Statistical Methods and Modeling | | |
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PCAD-31-02 Training For Exam - PCAD-31-02 New Exam Braindumps
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q30-Q35):
NEW QUESTION # 30
Which storage system is best suited for storing and retrieving large volumes of unstructured data, such as images or logs?
- A. Object storage systems
- B. Relational databases
- C. Data cubes
- D. In-memory databases
Answer: A
NEW QUESTION # 31
Which two benefits are most closely associated with using object-oriented programming (OOP) in data analysis pipelines?
(Choose two)
- A. Encourages code reuse through inheritance and modularity
- B. Supports clearer abstraction by modeling real-world entities
- C. Enables procedural programming only through decorators
- D. Allows the use of lambda for procedural logic
Answer: A,B
NEW QUESTION # 32
Which of the following statistical measures are considered measures of central tendency?
(Choose two)
- A. Variance
- B. Mean
- C. Mode
- D. Interquartile range
Answer: B,C
NEW QUESTION # 33
Which characteristics are typically associated with supervised learning algorithms?
(Choose two)
- A. They automatically detect outliers
- B. They are useful for regression and classification tasks
- C. They require labeled training data
- D. They work only with numerical features
Answer: B,C
NEW QUESTION # 34
What is a key assumption of linear regression that distinguishes it from logistic regression?
- A. Output values must be binary
- B. Predictors must be independent
- C. The target variable is unordered categorical
- D. The relationship between predictors and the outcome is linear
Answer: D
NEW QUESTION # 35
......
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