WGU D648 – Leveraging AI and Technology
in Strategic Communications Objective
Assessment V2 | 60 Questions, Correct
Answers & Detailed Rationales | COMS
3400 | 2026 Updated
1. What is the primary goal of strategic communications?
A. To create aesthetically pleasing content for social media.
B. To advance an organization's mission and objectives through purposeful
communication.
C. To ensure all internal emails are answered within one hour.
D. To maximize the number of press releases sent per quarter.
Correct Answer: B
Rationale: Strategic communications is defined by its purposeful nature. Its
primary goal is to help an organization achieve its overall mission and business
objectives by strategically managing its messaging, channels, and audiences.
While content creation (A) and efficiency (C) are components, they are not the
overarching goal. Volume of output (D) is a tactic, not a strategic objective.
2. In the context of AI in communications, what does "Natural Language
Generation (NLG)" refer to?
A. The ability of a computer to understand human speech.
B. The process of a machine translating text from one language to another.
C. The ability of an AI to produce human-like text from a set of data or prompts.
D. A system for analyzing the sentiment of customer reviews.
Correct Answer: C
, Rationale: Natural Language Generation (NLG) is a subfield of AI focused on
enabling machines to write or generate coherent, human-like text. This is the
technology behind AI writing assistants, chatbots that can formulate original
sentences, and tools that create reports from data. Understanding speech is
Natural Language Processing (NLP) or speech-to-text (A). Translation is a specific
application (B), and sentiment analysis is a different NLP task (D).
3. A communications team uses an AI tool to analyze thousands of social media
mentions to determine the overall public mood towards their brand. This is an
example of:
A. Predictive analytics.
B. Sentiment analysis.
C. A/B testing.
D. Natural Language Generation (NLG).
Correct Answer: B
Rationale: Sentiment analysis, also known as opinion mining, is the process of
using AI and NLP to systematically identify, extract, and quantify subjective
information from text. Its primary purpose is to determine the attitude of a
speaker or writer with respect to some topic, which is exactly what the team in
the scenario is doing. Predictive analytics (A) forecasts future outcomes. A/B
testing (C) compares two versions of a variable. NLG (D) is about generating text,
not analyzing it.
4. Which of the following is the most significant ethical concern when using AI to
create personalized marketing messages?
A. The potential for the AI to use overly complex vocabulary.
B. The risk of the AI generating messages that are too similar to competitors'
messages.
C. The collection and use of personal data without explicit user consent.
D. The high cost associated with acquiring and running the AI software.
,Correct Answer: C
Rationale: Personalization relies on data. The most significant ethical and legal
risk is violating user privacy by collecting, storing, and using personal data without
transparent consent. Regulations like GDPR and CCPA are built around this
principle. Vocabulary (A) is a style issue, not a core ethical one. Message similarity
(B) is a creative challenge, not an ethical breach. Cost (D) is a business
consideration, not an ethical concern.
5. A PR team needs to draft a press release about a new product launch. They
want to use AI to speed up the process. What is the most effective and ethical
use of AI in this scenario?
A. Have the AI write the entire press release and publish it without human review.
B. Use the AI to generate a first draft, then have a human editor fact-check, refine
the tone, and add strategic nuance.
C. Use the AI only to check for spelling and grammar errors in a human-written
draft.
D. Avoid using AI entirely, as it cannot be trusted to produce accurate information.
Correct Answer: B
Rationale: The most effective use of current AI writing tools is as a
collaborative partner. Using AI to generate a first draft (B) can overcome the
"blank page" problem and significantly speed up the writing process. However,
human oversight is critical for fact-checking, ensuring brand voice, adding strategic
context, and maintaining ethical standards. Publishing without review (A) is risky
and unethical. Limiting AI to proofreading (C) ignores its more powerful
capabilities. Avoiding it entirely (D) is an abdication of a useful tool.
6. What is a "prompt" in the context of generative AI?
A. The time it takes for the AI to generate a response.
B. The input or instruction given to an AI model to guide its output.
, C. A warning message from the AI about potential inaccuracies.
D. The final piece of content produced by the AI.
Correct Answer: B
Rationale: A prompt is the text-based input a user provides to a generative AI
model to elicit a specific response. The quality and specificity of the prompt
directly influence the quality, relevance, and format of the AI's output. Latency (A)
is the processing time. A warning (C) is a type of system message. The output (D)
is often called a completion or generation.
7. Which metric is most directly used to measure the success of a
communications campaign aimed at increasing brand awareness?
A. Conversion rate.
B. Click-through rate (CTR).
C. Share of voice (SOV).
D. Customer lifetime value (CLV).
Correct Answer: C
Rationale: Share of Voice (SOV) measures the percentage of total market
conversation a brand has compared to its competitors. It is a key indicator of
visibility and presence within a market, making it a direct measure of brand
awareness. Conversion rate (A) and CTR (B) measure action and engagement, not
just awareness. CLV (D) is a measure of long-term customer value.
8. A company wants to use AI to predict which customers are most likely to
unsubscribe from their newsletter. This is an application of:
A. Descriptive analytics.
B. Diagnostic analytics.
C. Predictive analytics.
D. Prescriptive analytics.
in Strategic Communications Objective
Assessment V2 | 60 Questions, Correct
Answers & Detailed Rationales | COMS
3400 | 2026 Updated
1. What is the primary goal of strategic communications?
A. To create aesthetically pleasing content for social media.
B. To advance an organization's mission and objectives through purposeful
communication.
C. To ensure all internal emails are answered within one hour.
D. To maximize the number of press releases sent per quarter.
Correct Answer: B
Rationale: Strategic communications is defined by its purposeful nature. Its
primary goal is to help an organization achieve its overall mission and business
objectives by strategically managing its messaging, channels, and audiences.
While content creation (A) and efficiency (C) are components, they are not the
overarching goal. Volume of output (D) is a tactic, not a strategic objective.
2. In the context of AI in communications, what does "Natural Language
Generation (NLG)" refer to?
A. The ability of a computer to understand human speech.
B. The process of a machine translating text from one language to another.
C. The ability of an AI to produce human-like text from a set of data or prompts.
D. A system for analyzing the sentiment of customer reviews.
Correct Answer: C
, Rationale: Natural Language Generation (NLG) is a subfield of AI focused on
enabling machines to write or generate coherent, human-like text. This is the
technology behind AI writing assistants, chatbots that can formulate original
sentences, and tools that create reports from data. Understanding speech is
Natural Language Processing (NLP) or speech-to-text (A). Translation is a specific
application (B), and sentiment analysis is a different NLP task (D).
3. A communications team uses an AI tool to analyze thousands of social media
mentions to determine the overall public mood towards their brand. This is an
example of:
A. Predictive analytics.
B. Sentiment analysis.
C. A/B testing.
D. Natural Language Generation (NLG).
Correct Answer: B
Rationale: Sentiment analysis, also known as opinion mining, is the process of
using AI and NLP to systematically identify, extract, and quantify subjective
information from text. Its primary purpose is to determine the attitude of a
speaker or writer with respect to some topic, which is exactly what the team in
the scenario is doing. Predictive analytics (A) forecasts future outcomes. A/B
testing (C) compares two versions of a variable. NLG (D) is about generating text,
not analyzing it.
4. Which of the following is the most significant ethical concern when using AI to
create personalized marketing messages?
A. The potential for the AI to use overly complex vocabulary.
B. The risk of the AI generating messages that are too similar to competitors'
messages.
C. The collection and use of personal data without explicit user consent.
D. The high cost associated with acquiring and running the AI software.
,Correct Answer: C
Rationale: Personalization relies on data. The most significant ethical and legal
risk is violating user privacy by collecting, storing, and using personal data without
transparent consent. Regulations like GDPR and CCPA are built around this
principle. Vocabulary (A) is a style issue, not a core ethical one. Message similarity
(B) is a creative challenge, not an ethical breach. Cost (D) is a business
consideration, not an ethical concern.
5. A PR team needs to draft a press release about a new product launch. They
want to use AI to speed up the process. What is the most effective and ethical
use of AI in this scenario?
A. Have the AI write the entire press release and publish it without human review.
B. Use the AI to generate a first draft, then have a human editor fact-check, refine
the tone, and add strategic nuance.
C. Use the AI only to check for spelling and grammar errors in a human-written
draft.
D. Avoid using AI entirely, as it cannot be trusted to produce accurate information.
Correct Answer: B
Rationale: The most effective use of current AI writing tools is as a
collaborative partner. Using AI to generate a first draft (B) can overcome the
"blank page" problem and significantly speed up the writing process. However,
human oversight is critical for fact-checking, ensuring brand voice, adding strategic
context, and maintaining ethical standards. Publishing without review (A) is risky
and unethical. Limiting AI to proofreading (C) ignores its more powerful
capabilities. Avoiding it entirely (D) is an abdication of a useful tool.
6. What is a "prompt" in the context of generative AI?
A. The time it takes for the AI to generate a response.
B. The input or instruction given to an AI model to guide its output.
, C. A warning message from the AI about potential inaccuracies.
D. The final piece of content produced by the AI.
Correct Answer: B
Rationale: A prompt is the text-based input a user provides to a generative AI
model to elicit a specific response. The quality and specificity of the prompt
directly influence the quality, relevance, and format of the AI's output. Latency (A)
is the processing time. A warning (C) is a type of system message. The output (D)
is often called a completion or generation.
7. Which metric is most directly used to measure the success of a
communications campaign aimed at increasing brand awareness?
A. Conversion rate.
B. Click-through rate (CTR).
C. Share of voice (SOV).
D. Customer lifetime value (CLV).
Correct Answer: C
Rationale: Share of Voice (SOV) measures the percentage of total market
conversation a brand has compared to its competitors. It is a key indicator of
visibility and presence within a market, making it a direct measure of brand
awareness. Conversion rate (A) and CTR (B) measure action and engagement, not
just awareness. CLV (D) is a measure of long-term customer value.
8. A company wants to use AI to predict which customers are most likely to
unsubscribe from their newsletter. This is an application of:
A. Descriptive analytics.
B. Diagnostic analytics.
C. Predictive analytics.
D. Prescriptive analytics.
