Genesys GC-AI-DB Certification Exam Sample Questions

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Genesys GC-AI-DB Sample Questions:

01. During a product recall, an appliance maker's knowledge author switched Visibility off on an article about a recalled kettle and saved it. Two days later the author switched Visibility back on and clicked Save. Neither the company's digital bot nor its knowledge portal has returned the article since, although the article now shows Visibility on.
What explains this?
a) Its phrasings were dropped
b) Response Bias is set to Intents in the bot flow
c) It was saved but never republished
d) Its category was renamed
 
02. Two days after an airline's bot author changed how a digital bot flow calculates rebooking fees, the Error tile on the Optimization dashboard rose sharply while Recognition Failure and the intents summary stayed level. Top bot flow actions with issues now lists an Update Data action in the Rebooking task with the outcome expression error.
What should the author do?
a) Retrain the Rebooking intent with new utterances in Learning and republish the flow
b) Fix the expression in that Update Data action
c) Raise the maximum number of No Matches
d) Lengthen the No Input Timeout
 
03. In knowledge optimizer, an energy supplier's article "How do I read my smart meter?" appears among the top surfaced articles with a high share of negative feedback. The knowledge manager confirms that the answer was revised recently and is accurate, and conversation reviews show the article being returned for queries such as "why is my meter display blank" and "my meter stopped sending readings".
What is the most effective fix?
a) Rewrite the meter-reading answer and republish the article
b) Add the fault queries as phrases on the meter-reading article
c) Create a meter-fault article and add those fault queries as its phrases
d) Turn off Knowledge confirmation on the Feedback tab
 
04. At an online electronics retailer, the article "Return a faulty laptop" is climbing the knowledge optimizer's Top surfaced articles tile while its feedback turns negative. Before deciding whether to change it, the knowledge lead clicks the article to open the Article View.
Which information does the Article View give her?
(Choose two.)
a) A list of suggested related articles that might answer it better
b) The bot intent, flow and touchpoint behind views
c) A comparison with the previous revision
d) The other queries this article answered, beside its own query and answer
e) Its author, its status, its language and date last modified
 
05. While testing a veterinary clinic's digital bot, the author finds that central examples for the Reschedule Appointment intent, such as "I need to move my appointment", keep scoring just below the Normal High threshold. The bot therefore asks a confirmation question for requests it should accept outright, and the author is considering lowering the threshold.
Which steps do Genesys best practices recommend before any threshold change?
(Choose two.)
a) Add every utterance in the Learning view to the Reschedule Appointment intent
b) Remove competing examples or merge intents that are too similar
c) Switch Response Bias to Intents in Knowledge view settings
d) Check vocabulary overlap with similar, related intents
e) Lower the Normal Low threshold for the flow
 
06. Before launch, an insurer's bot team runs its test set against a digital bot flow. Utterances containing general phrases such as "help me" or "why" are classified as the Technical Support intent almost regardless of the rest of the sentence, including requests that clearly belong to Billing or Claims.
Which corrective action does Genesys recommend for this kind of bias?
a) Turn the phrases into a list slot type with synonyms
b) Raise the Normal High confidence threshold in Settings > User Input and retest the set
c) Rename Technical Support with a shorter natural name
d) Add those general phrases to examples in the other intents, where they apply
 
07. An inbound message flow calls a travel agency's Genesys Digital Bot Flow, Concierge, which supports English and French. Concierge uses Call Digital Bot Flow actions to hand customers to two other digital bot flows: Payments, which also supports English and French, and Loyalty, which supports English only. An architect reviews the claims the team has written into its design notes.
Which claims are accurate?
(Choose two.)
a) If Payments switches the conversation to French, it stays French back in Concierge
b) Testing Concierge with Start Chat previews Payments too
c) Loyalty continues a French conversation in French, adopting the language of Concierge as its core flow
d) Testing Payments with Start Chat also brings Concierge into the preview
e) Payments and Loyalty must support every language that Concierge supports
 
08. Months ago, a team built an intent miner while working in a Genesys Dialog Engine Bot Flow. An author now builds a new Genesys Digital Bot Flow for the same service and opens Import from Intent Miner from that flow's Insights and Optimizations menu.
Which statements about this import are accurate?
(Choose two.)
a) The existing miner can be selected even though it was created from a different bot flow
b) The dialog lists mined intents, and the author picks utterances there
c) Only a miner created from this digital bot flow appears
d) The drafts must be exported before they can be imported
e) Apply trains the bot
 
09. A utility company's digital bot answers questions from a knowledge base whose articles are organized into categories. When the matched article belongs to the Outages category, the bot must first run a data action that checks for a known outage at the customer's address, and only then show the article. Articles in other categories are shown as usual.
How should the author build this?
a) Set Response Bias to Knowledge on the General tab
b) Switch to custom handling, then branch on the matched article's category in the knowledge task
c) Keep standard handling and run the data action from a follow-up Task
d) Set the Single Answer Introduction to mention outages
 
10. Over the past week, a logistics firm's knowledge optimizer view of its knowledge configuration shows tens of thousands of interactions in the Total interactions tile, a few dozen submissions in the Total feedback tile, and three queries in Queries with negative feedback. The operations director concludes that the generated answers are almost always right and that no content review is needed.
How should the knowledge lead assess this conclusion?
a) Unsupported: too little feedback to judge
b) Sound: three negative queries among that many interactions shows high accuracy
c) Sound, provided the Hits since the last completed task are also low
d) Unsupported: the tiles count only voice interactions, not digital ones

Answers:

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

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