Microsoft Azure AI Fundamentals

• #1

  response = client.chat.completions.create( model = 'my-deployment-name',

  • Amessages
  • Binputs
  • Cprompt
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• #2

  Which condition represents the most probable architectural mistake?

  • AThe text payload characters exceeded the maximum capacity limit.
  • BThe endpoint URL string points to an invalid cloud region domain.
  • CThe underlying Azure AI service resource has been disabled, or the client IP is blocked by the service firewall.
  • DThe local python runtime environment version is incompatible.
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• #3Choose 2

  Which two Responsible AI principles are directly addressed by this implementation strategy? (Select TWO)

  • ATransparency
  • BInclusiveness
  • CAccountability
  • DFairness
  • EReliability and Safety
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• #4

  Which model should you deploy?

  • AText-Embedding-3
  • BGPT-4o
  • CDALL-E 3
  • DWhisper
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• #5

  Ensuring a model does not discriminate by age supports

  • AFairness
  • BInclusiveness
  • CAccountability
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• #6

  Which vision task must they use?

  • AImage Classification
  • BObject Detection
  • COptical Character Recognition (OCR)
  • DFace Analysis
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• #7

  Which capability should they use?

  • AOptical Character Recognition
  • BFace Analysis (detection & attributes)
  • CObject Detection bounding boxes
  • DSpatial Analysis queue tracking
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• #8Choose 3

  Which three features are required? (Select THREE)

  • AImage Classification
  • BObject Detection
  • COptical Character Recognition (OCR)
  • DFace Analysis
  • ESpatial Analysis Line Crossing
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• #9

  Which option is MOST suitable?

  • APrompt GPT-4 on Azure OpenAI.
  • BUse the prebuilt summarization model in Azure AI Language.
  • CTrain a Custom Extraction model in Document Intelligence.
  • DDeploy a Speech translation channel.
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• #10Choose 3

  Select THREE options.

  • AExecuting automated clustering configurations on raw unindexed relational database partitions.
  • BGenerating synthesizable software code fragments based on conversational prompt statements.
  • CSynthesizing high-fidelity photorealistic novel imagery based on structural text specifications.
  • DExecuting real-time structural data clearing of network physical routing hardware.
  • ECondensing a multi-page operational memorandum into a high-level executive bulleted summary.
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• #11

  . Raw HR policy documents are chunked, transformed into vector embeddings, and ingested into an Azure AI Search vector store: Step

  • A1
  • B2
  • C3
  • D4
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• #12

  Which specific service is intended to handle these computer vision workloads?

  • AAzure AI Language
  • BAzure AI Vision
  • CAzure AI Document Intelligence
  • DAzure AI Speech
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• #13

  Which Python SDK package is the developer importing?

  • Aazure-cognitiveservices-speech
  • Bazure-ai-language
  • Cazure-openai
  • Dazure-identity
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• #14

  Select the correct term.

  • ALabels
  • BFeatures
  • CResiduals
  • DEndpoints
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• #15

  Which option is MOST appropriate?

  • AUse the prebuilt Receipt model.
  • BTrain a Custom Extraction model inside Document Intelligence using labeled sample forms.
  • CUse Azure AI Vision OCR and write regular expressions for formatting.
  • DDeploy a GPT-4 model and prompt it to draw text.
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• #16

  Which Responsible AI principle has been violated?

  • AReliability and Safety
  • BTransparency
  • CFairness
  • DAccountability
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• #17

  .create( model="my-embeddings-deployment",

  • Ainput
  • Bprompt
  • Cquery
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• #18

  Why did the vector search succeed?

  • AVector search matches semantic concept vectors rather than exact text strings.
  • BVector search matches exact character strings like 'blue'.
  • CVector search dynamically fine-tunes the LLM.
  • DVector search executes SQL joins.
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• #19

  Why does this client call use the prefix begin_ and return a poller object?

  • ABecause the request is synchronous and wait times are guaranteed to be zero.
  • BBecause document analysis is a long-running asynchronous task, and the poller tracks execution progress until .result() is queried.
  • CBecause it executes local script resources on the developer's client machine.
  • DBecause the client must initialize a Speech config first.
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• #20

  Which evaluation metric in Azure AI Studio should you check?

  • ARelevance
  • BGroundedness
  • CFluency
  • DCoherence
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