A news organization wants to automatically generate short summaries of long articles to display on their homepage. Which AI technique is most appropriate?

Robotic process automation to copy the first paragraph

A supervised classification model to categorize articles

Natural language processing for text summarization

A regression model to predict article length

A healthcare provider wants to automatically transcribe doctor-patient conversations and then extract medical codes from the transcripts. Which combination of AI techniques should they use?

Speech recognition to transcribe, then NLP to extract codes

A generative AI model to create new conversations

A supervised classification model to classify the conversation

Robotic process automation to type the conversation

A social media company wants to automatically flag hate speech in user comments so moderators can review them. They have a large dataset of comments labeled as hate speech or not. Which AI model should they build?

A supervised text classification model

A robotic process automation script that searches for offensive keywords

An unsupervised topic modeling model

A generative model that produces new comments

A bank wants to automate the extraction of data from loan application forms (both paper and digital) and then input that data into their loan origination system. The forms have varied layouts, and the system requires specific fields. Which combination of technologies would best achieve this?

Use a regression model to predict the loan amount

Use RPA alone to read the forms and type the data

Use a generative AI model to create new loan application forms

Use OCR to digitize the forms, NLP to extract the relevant fields, and RPA to enter the data into the system

CompTIAData+

Domain 1Objective 5

Understand AI Concepts DA0-001 Practice Questions (Page 4)

Part of the Data concepts and environments domain, which accounts for 20% of the DA0-001 exam. CompTIA does not publish an official question count, but from its 90-minute exam (~35–60 total, ~7–12 in this domain), expect 1–2 from this objective — we provide 21 practice questions to prepare you well beyond it. (estimate)

21questions here

5free pages

3concepts

20%of the exam

Questions 16–20

16foundation · easy
A company wants to build a chatbot that can understand and respond to customer questions in natural language. Which AI concept is most directly applied to enable this capability?
Select an answer first
17application · medium
A news organization wants to automatically generate short summaries of long articles to display on their homepage. Which AI technique is most appropriate?
Select an answer first
18application · medium
A healthcare provider wants to automatically transcribe doctor-patient conversations and then extract medical codes from the transcripts. Which combination of AI techniques should they use?
Select an answer first
19application · medium
A social media company wants to automatically flag hate speech in user comments so moderators can review them. They have a large dataset of comments labeled as hate speech or not. Which AI model should they build?
Select an answer first
20application · medium
A bank wants to automate the extraction of data from loan application forms (both paper and digital) and then input that data into their loan origination system. The forms have varied layouts, and the system requires specific fields. Which combination of technologies would best achieve this?
Select an answer first

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