2.5 Configuring Prebuilt Solutions or APIs with Agent Platform PROFESSIONAL-CLOUD-ARCHITECT Practice Questions (Page 6)

Questions 26–30

1. 26application · medium

   A legal team needs to prepare for a case by reviewing thousands of pages of deposition transcripts. They want to use NotebookLM to help identify key arguments and contradictions. What is the primary benefit of using NotebookLM for this task?

   • AIt can generate a summary of the case law, not just the provided transcripts.
   • BIt can ground its analysis and answers directly in the uploaded transcripts, providing citations to specific passages.
   • CIt can automatically file the transcripts in the correct legal case folder.
   • DIt can translate the transcripts into multiple languages.
   Reveal Solution Discussion Select an answer first
2. 27application · easy

   A retail company wants to build a mobile app feature that lets customers photograph a product barcode and then receive the product name, price, and a short text description. The team has decided to use a Google AI API for the image understanding part. Which API should they use, and what is the primary input/output characteristic that makes it the right fit?

   • AVision API; it accepts image input and returns text labels and descriptions.
   • BSpeech-to-Text API; it accepts audio input and returns transcribed text.
   • CNatural Language API; it accepts text input and returns entity sentiment.
   • DVideo Intelligence API; it accepts video input and returns shot changes and labels.
   Reveal Solution Discussion Select an answer first
4. 28foundation · easy

   Which Google Cloud service is commonly used to deploy and manage models from Model Garden?

   • AVertex AI
   • BCompute Engine
   • CCloud Storage
   • DCloud Functions
   Reveal Solution Discussion Select an answer first
5. 29application · medium

   A developer wants to integrate a pre-trained sentiment analysis model from Model Garden into a Python application that processes customer reviews. The model is available via an endpoint. What is the standard first step to integrate this model into the application?

   • ACreate a new Vertex AI pipeline to deploy the model to a VM.
   • BInstall the Google Cloud client library and authenticate the application with a service account.
   • CExport the model to a local file and load it with a custom inference script.
   • DRe-train the model on the customer reviews before using it.
   Reveal Solution Discussion Select an answer first
6. 30foundation · easy

   When selecting a model from Model Garden, which factor is most important to consider?

   • AThe model's color scheme in the UI
   • BThe model's popularity on social media
   • CThe model's performance on the specific task and input type
   • DThe model's name being easy to remember
   Reveal Solution Discussion Select an answer first