Python Institute Associate Data Analyst with Python (PCAD) Certification Sample Questions

The purpose of this Sample Question Set is to provide you with information about the Python Institute Certified Associate Data Analyst with Python exam. These sample questions will make you very familiar with both the type and the difficulty level of the questions on the PCAD certification test. To get familiar with real exam environment, we suggest you try our Sample Python Institute Associate Data Analyst with Python Certification Practice Exam. This sample practice exam gives you the feeling of reality and is a clue to the questions asked in the actual Python Institute Certified Associate Data Analyst with Python (PCAD) certification exam.

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Python Institute PCAD Sample Questions:

01. A sales dataset is prepared before monthly reporting dashboards are built from it.

Which two tasks belong to the preprocessing stage?

(Select 2 answers.)

a) Fit the demand forecast model on the cleaned dataset

b) Cast the order-date and amount columns to their proper dtypes

c) Schedule the dashboard refresh for the reporting team

d) Impute or drop rows whose sales amount is missing

02. Which statements about a pandas DataFrame are correct?

(Select 2 answers.)

a) Every column of a frame must share one dtypes

b) Selecting rows with a Boolean mask returns a new frame

c) Each column is a Series and carries its own dtype

d) Methods such as head() and sort_values() change the frame in place by default

03. Daily sales for a store chain average far above a typical day because a handful of holiday dates recorded very large totals.

Which measure better represents a typical day?

a) Median

b) Maximum

c) Mean

d) Mode

04. An analyst joins the transactions table (left) to the customers table (right) on customer_id. The result has exactly as many rows as the transactions table, and some rows carry empty demographic columns because no customer row matched.

Which join produced this result?

a) Inner join

b) Right join

c) Full outer join

d) Left join

05. Several input features in a training dataset carry information already present in other features and do not improve predictions.

Which preprocessing activity addresses that?

a) Feature scaling

b) One-hot encoding

c) Feature selection

d) Data augmentation

06. An analyst pulls customer transaction records from a PostgreSQL database through a Python connector and wants only the rows whose status column holds the value completed.

Which SQL clause applies that restriction?

a) GROUP BY

b) ORDER BY

c) HAVING

d) WHERE

07. A healthcare analyst reports the diagnosis category recorded most often in a patient dataset. Which statistic is that?

a) Mode

b) Mean

c) Variance

d) Median

08. Before cleaning begins, an analyst wants the count, mean, standard deviation, minimum, quartiles and maximum of every numeric column in a large DataFrame, gathered into one table.

Which method returns that?

a) mean()

b) describe()

c) info()

d) value_counts()

09. Hourly transaction exports arrive from several banking systems. The same field appears as Acct_ID in one export, account_id in another and ACCOUNTID in a third, so a merge keyed on that field raises a missing-column error.

Which preprocessing step resolves this?

a) Merge the frames on column position rather than on the column name

b) Lowercase the values inside the identifier columns before merging

c) Rename the columns to one agreed name before merging

d) Use an outer join so the unmatched rows are retained in the result

10. Twelve monthly transaction exports share an identical column layout and are loaded as twelve DataFrames.

Which operation produces one frame holding every transaction from the year?

a) Concatenate the frames one below another along the row axis

b) Merge the frames on a shared key column

c) Join the frames side by side by aligning them on their row index

d) Pivot each frame so its month becomes a column

Answers:

Question: 01 Answer: b, d	Question: 02 Answer: b, c	Question: 03 Answer: a	Question: 04 Answer: d	Question: 05 Answer: c
Question: 06 Answer: d	Question: 07 Answer: a	Question: 08 Answer: b	Question: 09 Answer: c	Question: 10 Answer: a

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