Free PCED-30-01 Exam Questions - Easiest Way for Success

Prepare for the Python Institute PCED-30-01 exam questions with our authentic preparation materials, including free PCED-30-01 practice exam questions and answers. TheExamsLab provides all the support you need to succeed in the Certified Entry-Level Data Analyst with Python PCED-30-01 exam. This dedication to student success is why we have the most satisfied PCED-30-01 certification exam candidates worldwide.

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Total 382 Questions | Updated On: Sep 11, 2024

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Question 1

When would you typically use the iloc attribute as opposed to the loc attribute in a pandas DataFrame?

A : When you want to apply a lambda function to each row

B : When you want to drop missing values from the DataFrame

C : When you want to access rows and columns by label

D : When you want to access rows and columns by integer-location

Answer: D

Question 2

You are pulling data from various databases using Python to compile a large dataset for analysis. How would you ensure the data’s accuracy and reliability?

A : Use the most recent data available in all databases.

B : Write the Python script in a way that it runs faster to save computational resources.

C : Compare a random subset of data with source records to validate accuracy.

D : Perform exploratory data analysis (EDA) only after data cleaning is done.

Answer: C

Question 3

What is the most appropriate technique to handle missing values for a categorical column in a dataset before fitting it to a model?

A : Remove Rows with Missing Values

B : Mean Imputation

C : Linear Regression Imputation

D : Mode Imputation

Answer: D

Question 4

You are working on a project that requires real-time data collection from a WebSocket API. Which of the following Python libraries would be most appropriate for this task?

A : csv

B : websocket-client

C : urllib

D : scrapy

Answer: B

Question 5

Which of the following cross-validation techniques is most appropriate when you are working with a dataset where the target variable's classes are imbalanced?

A : Leave-One-Out Cross-Validation (LOOCV)

B : k-Fold Cross-Validation

C : Stratified k-Fold Cross-Validation

D : Random Split Cross-Validation

Answer: C

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Total 382 Questions | Updated On: Sep 11, 2024

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