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| Section | Weight | Objectives |
|---|
| SQL and Data Management | | |
| Data Visualization and Communication | | |
| Data Acquisition and Pre-Processing | 29.2% | |
| Statistical Methods and Modeling | | |
| Exploratory Data Analysis | | |
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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q77-Q82):
NEW QUESTION # 77
What is the main purpose of using the bootstrapping technique in inferential statistics?
- A. To validate the syntax of SQL queries in Python
- B. To filter outliers from a dataset
- C. To increase the number of features in a model
- D. To estimate the sampling distribution by resampling with replacement
Answer: D
NEW QUESTION # 78
Which methods can be used to validate data types and structure in a Pandas DataFrame?
(Choose two)
- A. df.dtypes
- B. df.memory_usage()
- C. df.info()
- D. df.to_csv()
Answer: A,C
NEW QUESTION # 79
Which characteristics are typically associated with unstructured data formats?
(Choose two)
- A. Stored using fixed-width fields and records
- B. Highly tabular and query-friendly
- C. Lacks predefined data schema
- D. Requires parsing or transformation before analysis
Answer: C,D
NEW QUESTION # 80
Which of the following are true characteristics of bootstrapping in statistics?
(Choose two)
- A. It assumes a normal distribution
- B. It requires a large population sample
- C. It uses random sampling with replacement
- D. It enables confidence interval estimation
Answer: C,D
NEW QUESTION # 81
Which Python library is most commonly used to establish a connection to a SQLite database and perform SQL operations?
- A. sqlalchemy
- B. sqlite3
- C. pymysql
- D. psycopg2
Answer: B
NEW QUESTION # 82
......
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