A data science team needs to load a CSV file stored in an Azure Blob Storage container into a pandas DataFrame for initial exploration. Which approach directly accomplishes this task?

Use the Azure CLI command az storage blob download to download the blob to a local file, then use pandas.read_csv() on the local file.

Use pandas.read_csv() with the blob's HTTPS URL and, if needed, an appropriate authentication mechanism such as a SAS token or account key.

Use pandas.read_excel() with the blob's URL to read the CSV file.

Use the Azure Portal to open the CSV file and copy its contents into a pandas DataFrame.

Which type of model is commonly used to generate AI-synthetic data?

Generative Adversarial Networks (GANs)

A data science team is about to receive a dataset from a partner company under a data sharing agreement. The agreement specifies that the data can only be used for internal analytics and cannot be shared with third parties. What is the most important implication for the team?

They can share the data with a subcontractor if the subcontractor signs a non-disclosure agreement.

They must ensure the data is stored securely and access is restricted to authorized team members only.

They can use the data for any purpose as long as they do not sell it.

They must delete the data after a certain period, even if the agreement does not specify a retention period.

CertNexusCertified Data Science Practitioner (CDSP)

Domain 2Objective 1

Objective 2.1 Gather Data Sets CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 1)

Part of the 2.0 Extracting, Transforming, and Loading Data domain, which accounts for 17-25% of the CERTIFIED-DATA-SCIENCE-PRACTITIONER exam.

39questions here

8free pages

15concepts

17-25%of the exam

15 Concepts in This Objective

Read Data from Various Sources
SQL Query Writing
NoSQL Query Writing
Cloud Storage Integration
First-, Second-, and Third-Party Data Sources
Data Collection Methods
Data Sharing Agreements
Exploring Third-Party Data Availability
Collecting Open-Source Data
Using APIs for Data Collection
Web Scraping
Generating Dummy or Test Data
Generating Randomized Data
Generating Anonymized Data
Generating AI-Generated Synthetic Data

Questions 1–5

1foundation · medium
A data science team needs to load a CSV file stored in an Azure Blob Storage container into a pandas DataFrame for initial exploration. Which approach directly accomplishes this task?
Select an answer first
2foundation · easy
Which AWS service is commonly used for cloud storage and can be accessed via the boto3 SDK in Python?
Select an answer first
3foundation · easy
Which type of model is commonly used to generate AI-synthetic data?
Select an answer first
4application · medium
A data science team is about to receive a dataset from a partner company under a data sharing agreement. The agreement specifies that the data can only be used for internal analytics and cannot be shared with third parties. What is the most important implication for the team?
Select an answer first
5foundation · easy
Which SQL clause is used to filter rows based on a condition?
Select an answer first

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Objective 2.1 Gather Data Sets CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 1)

Questions 1–5

A data science team needs to load a CSV file stored in an Azure Blob Storage container into a pandas DataFrame for initial exploration. Which approach directly accomplishes this task?

Which AWS service is commonly used for cloud storage and can be accessed via the boto3 SDK in Python?

Which type of model is commonly used to generate AI-synthetic data?

A data science team is about to receive a dataset from a partner company under a data sharing agreement. The agreement specifies that the data can only be used for internal analytics and cannot be shared with third parties. What is the most important implication for the team?

Which SQL clause is used to filter rows based on a condition?

Keep studying — 2.0 Extracting, Transforming, and Loading Data