Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
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Your company plans to build a generative AI solution based on internal data.
You recommend using Microsoft Foundry as a starting point to develop and manage the solution.
What is a key benefit of using Microsoft Foundry for this project?
AProvides a scalable platform for developing and deploying generative AI solutions.
BRemoves the need to select or configure the underlying AI model.
CEnables business users to build generative AI solutions.
DOffers a low-code platform for developing generative AI solutions.
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Question 2
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
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Question 3
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
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Question 4
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
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Question 5
Identify an implementation and adoption strategy for Microsoft’s AI apps and services
Which business requirement most closely relates to grounding a generative AI model?
Asupporting multiple languages
Bmeasuring the number of user interactions per day
Cenabling users to interact by using natural language queries
Densuring that verified company data sources are used for response generation
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
HOTSPOT -
Select the answer that correctly completes the sentence.
Your company uses a non-reasoning generative AI model to create textual content.
You discover that the model’s responses are inconsistent and do NOT meet expectations.
You need to improve the prompts.
What should you do? More than one answer choice may achieve the goal. Select the BEST answer.
AProvide the prompts with extensive examples of the expected output.
BAdd the context, sources, and expectations to the prompts.
CUse technical terms in the prompts to enhance AI comprehension.
DAdd only a single concise requirement to the prompts.
Question 6
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
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Question 7
Identify an implementation and adoption strategy for Microsoft’s AI apps and services
Question 8
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 9
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 10
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 11
Identify an implementation and adoption strategy for Microsoft’s AI apps and services
Question 12
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 13
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 14
Identify an implementation and adoption strategy for Microsoft’s AI apps and services
Question 15
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 16
Identify the business value of generative AI solutions
Question 17
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 18
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 19
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 20
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 21
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 22
Identify the business value of generative AI solutions
Question 23
Identify an implementation and adoption strategy for Microsoft’s AI apps and services
Question 24
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
Question 25
Identify benefits, capabilities, and opportunities for Microsoft’s AI apps and services
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HOTSPOT -
Select the answer that correctly completes the sentence.
You need to create a custom Azure Machine Learning model. The data used to train the model is consistent and uniform.
What should you do first?
APrepare the training data.
BEvaluate the model.
CTrain the model.
DTune hyperparameters.
EDeploy the model.
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Your company plans to use generative AI to help project managers and engineers work with construction blueprints stored as PDF files.
You need to recommend a generative AI solution that meets the following business requirements:
Processes both images and text -
Summarizes the design of a building
Answers user questions about a building’s design
Extracts information from blueprints, such as the location of electrical, heating, and plumbing systems
What should you recommend?
Aa multi-modal solution
Ban optical character recognition (OCR) solution
Ca text completion solution
Da document summarization solution
You need to recommend a service that supports indexing information and knowledge mining by extracting insights from documents.
What should you recommend?
AMicrosoft Foundry
BAzure Vision in Foundry Tools
CAzure Document Intelligence in Foundry Tools
DAzure AI Search
DRAG DROP -
Match the business scenario to the appropriate AI solution design approach.
To answer, drag the AI solution from the column on the left to its business scenario on the right. Each solution may be used once, more than once, or not at all.
NOTE: Each correct match is worth one point.
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
HOTSPOT -
Select the answer that correctly completes the sentence.
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
In which scenario is Azure Machine Learning most likely to deliver strategic value for an organization?
AUsing historical sales data to forecast demand across product categories.
BDigitizing a paper-based process to reduce errors.
CEntering customer feedback into a spreadsheet to understand sentiment.
DSending personalized emails to customers based on the customer location.
HOTSPOT -
Select the answer that correctly completes the sentence.
HOTSPOT -
Select the answer that correctly completes the sentence.
HOTSPOT -
Select the answer that correctly completes the sentence.
HOTSPOT -
Select the answer that correctly completes the sentence.
Your company uses a generative AI solution.
You need to improve the quality of responses by using grounding.
Which statement accurately describes how grounding improves accuracy and relevancy?
Areferences a diverse set of people, disciplines, and perspectives
Bexplains how and why AI models generate content
Canchors the responses in specific data sources
Dspecifies the strengths and weaknesses of the AI model
You plan to meet with a group of stakeholders to discuss how generative AI can benefit your company.
You need to provide the stakeholders with a relevant description of generative AI during the meeting.
Which description should you use?
AGenerative AI is designed to generate responses based on a user’s natural language prompts.
BGenerative AI is designed to translate documents into other languages.
CGenerative AI is designed to predict future trends based on historical data.
DGenerative AI is designed to recommend products based on user behavior.
Which statement accurately describes the difference between a pretrained generative AI model and a fine-tuned generative AI model?
AA pretrained model requires labeled data, while a fine-tuned model does not.
BA pretrained model is faster to train than a fine-tuned model because the pretrained model uses fewer parameters.
CA pretrained model is trained on broad datasets, while a fine-tuned model is adapted to perform well on a narrower, domain-specific dataset.
DA pretrained model is optimized for a specific task, while a fine-tuned model is designed for general-purpose use.
HOTSPOT -
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.
Your company receives thousands of scanned invoices each month.
You need to recommend an AI solution that can automatically extract key details, such as invoice numbers, vendor names, and total amounts.
What is the best solution to recommend? More than one answer choice may achieve the goal. Select the BEST answer.
