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Python Institute PCAD-31-02 Exam Syllabus Topics:

Section	Weight	Objectives
Data Visualization and Communication
Exploratory Data Analysis
Statistical Methods and Modeling
SQL and Data Management
Data Acquisition and Pre-Processing	29.2%

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Python Institute Certified Associate Data Analyst with Python (PCAD-31-02) Sample Questions (Q105-Q110):

NEW QUESTION # 105
Which of the following practices improves clarity when combining visualizations and textual explanations in a report?

A. Avoid summarizing the data verbally
B. Repeat all numerical data in both the chart and text
C. Include concise textual summaries that highlight the chart's message
D. Use visualizations alone without titles or captions

Answer: C

NEW QUESTION # 106
Which method is best suited to transform inconsistent entries such as "N/A", "missing", and empty strings into a standard missing value representation in a Pandas DataFrame?

A. df.sort_values()
B. df.rename()
C. df.replace()
D. df.dropna()

Answer: C

NEW QUESTION # 107
Which of the following would most likely be classified as unstructured data?

A. Inventory levels in a spreadsheet
B. Collection of customer service audio recordings
C. Product ID and price list in a CSV
D. Normalized employee database in PostgreSQL

Answer: B

NEW QUESTION # 108
Which Python library is most commonly used to establish a connection to a SQLite database and perform SQL operations?

A. sqlalchemy
B. pymysql
C. psycopg2
D. sqlite3

Answer: D

NEW QUESTION # 109
Which characteristics are typically associated with unstructured data formats?
(Choose two)

A. Highly tabular and query-friendly
B. Stored using fixed-width fields and records
C. Requires parsing or transformation before analysis
D. Lacks predefined data schema

Answer: C,D

NEW QUESTION # 110
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