What is the main goal of a data fabric architecture?

To eliminate the need for data governance

To provide unified data access and integration across distributed environments

To replace all existing data pipelines

To store all data in a single centralized database

How does an enterprise data strategy primarily influence the design of data pipelines?

It replaces the need for data governance

It defines the business goals, governance rules, and data standards that pipelines must support

It specifies the exact programming language to use for all pipelines

It dictates the hardware requirements for every server

A financial services firm has a nightly batch pipeline that extracts data from a core banking system, transforms it into a star schema, and loads it into a data warehouse for reporting. The pipeline is currently run manually by a data engineer who executes a series of scripts. The firm wants to automate the entire process so that it runs reliably at 2:00 AM every day, with automatic retries and alerting on failure. Which approach best meets this requirement?

Create a shell script that runs the pipeline steps sequentially and schedule it with cron.

Write a single Python script that performs all steps and use a while loop to run it every 24 hours.

Use an orchestration tool like Apache Airflow to define the pipeline as a DAG with scheduled execution, retries, and alerting.

Have the data engineer continue running the scripts manually but set a calendar reminder.

Which technology is often used to enable data fabric's unified access?

Metadata management and data virtualization

Physical data replication to every location

What type of data is a data lake particularly well-suited to handle in its ETL process?

Unstructured data such as images, videos, and log files

Only data that has been fully cleaned

Only highly normalized relational data

Only data that fits a fixed schema

CertNexusCertified Data Science Practitioner (CDSP)

Domain 6Objective 1

Build and Automate Pipelines CERTIFIED-DATA-SCIENCE-PRACTITIONER Practice Questions (Page 1)

Part of the 6.0 Operationalizing the pipeline domain, which accounts for 5-8% of the CERTIFIED-DATA-SCIENCE-PRACTITIONER exam.

39questions here

8free pages

11concepts

5-8%of the exam

Questions 1–5

1foundation · easy
What is the main goal of a data fabric architecture?
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2foundation · easy
How does an enterprise data strategy primarily influence the design of data pipelines?
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3application · medium
A financial services firm has a nightly batch pipeline that extracts data from a core banking system, transforms it into a star schema, and loads it into a data warehouse for reporting. The pipeline is currently run manually by a data engineer who executes a series of scripts. The firm wants to automate the entire process so that it runs reliably at 2:00 AM every day, with automatic retries and alerting on failure. Which approach best meets this requirement?
Select an answer first
4foundation · easy
Which technology is often used to enable data fabric's unified access?
Select an answer first
5foundation · easy
What type of data is a data lake particularly well-suited to handle in its ETL process?
Select an answer first

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