Avaya 132-S-900.6 Exam Prep Course (Premium File)
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Question 28:
Answer: C — Computer Vision image analysis
Explanation:

• To generate image tags in multiple languages with minimal development, use the Image Analysis endpoint of the Computer Vision service.
• Call the API (Analyze Image) with visualFeatures=Tags and specify the language parameter (e.g., language=en, language=fr, language=es). The response returns tags with names localized to the requested language.
• This approach requires no custom model training, unlike Custom Vision image classification, which would require building and tagging a dataset.
• Other options:

Question 61:

• Correct answer: A. Run the Bot Framework Emulator.

• Why: The Bot Framework Emulator lets you test and validate a locally running bot before connecting to any channels. It lets you simulate conversations, inspect requests/responses, view state, and debug dialog flows in real time.

• Why the other options are not correct for pre-connection validation:

• Quick steps (before connecting to channels):

Question 10:
Correct answer: B. A new query key was generated.
Explanation:

• The REST call uses POST to .../regenerateKey with body {"keyName": "Key2"}. This regenerates only the specified key (Key2) for the given Cognitive Services account.
• The value of Key2 changes to a new secret; Key1 remains unchanged. It does not rotate both keys, nor does it involve Azure Key Vault.
• After regenerating, update your client applications to use the new Key2 value to continue authenticating.

Question 57:
In question 57, after a new feature release users experience latency at login. The first action should be to rollback the recent release to the previous stable version.
Why:

• Rolling back quickly restores service and user experience, minimizing impact (blast radius) while you investigate the root cause.
• It buys time to diagnose whether the regression was introduced by the new release.

• Review Stackdriver monitoring is important for diagnosis, but it doesn’t immediately restore service to normal. Do it after rollback or in parallel to triage.
• Upsize the VMs may help temporarily but does not address the underlying issue and isn’t a guaranteed fix.
• Deploy a new release could reintroduce the problem or delay stabilization.

Hi, when I click on Practice online it sends me to the free test is this right? is there a Mac OS of Xengine Thanks Mark

Question 2:

• Correct option: C — the models are PA-3260, PA-5410, PA-850, and PA-460.
• Why: ARE requires PAN-OS 11.0+ and hardware that supports the feature. ARE is available on the PA-3200 Series, PA-5400 Series, PA-800 Series, and PA-400 Series. That includes:

• What to do in practice:

• Why other choices are incorrect: those models fall outside the ARE-supported families or are VM/CN-Series not listed for ARE in this context.

Question 2:

• Correct answer: Set-MsolCompanySettings

• Why:

Question 0:
You’re right to question it, but in this exam context the correct option is A: create_resource("res1", "ComputerVision", "F0", "westus").
Why:

• The task is to generate captions of images, which uses the Computer Vision resource, not Custom Vision.
• The requirement specifies a free Azure resource, so you should use the free tier F0 in the West US region.
• The other options either use the wrong service (CustomVision.Prediction) or a paid tier (S0).

Question 17:

• Correct answer: A

• Why: To generate captions of images, you need a ComputerVision resource, not CustomVision.Prediction. The task specifies a free Azure resource, so use the free tier F0 and set the location to westus. The other options either use the wrong service (Custom Vision) or use a paid tier (S0). The function call should be:

Question 46:

• The correct completion is: collection of information concepts and their relationships to one another.

• In TOGAF/Enterprise Architecture, an information map is a visual representation of the information landscape. It shows what information assets exist, where they reside, and how they relate and flow between systems. It helps identify key data concepts, their locations, and the dependencies between them.