Free Cloud Digital Leader Exam Braindumps
Cloud Digital Leader Questions 76–80 (page: 17)

Updated On: 10-Feb-2026

How does Google Cloud AI Hub make machine learning easy and accessible for Google Cloud customers to get started?

  1. It deploys artificial intelligence models in real time
  2. It automatically codes users' machine learn ng models
  3. It automatically sources and prepares users' machine learning data
  4. It includes a repository of plug-and-play artificial intelligence tools

Answer(s): D



A vacation home rental organization wants to predict the popularity of properties in their upcoming busy season. They do not have a data science team, and want to use their in-house database administration skills to create a machine learning model.
What should the organization do?

  1. Use custom training in Vertex AI with TensorFlow.
  2. Integrate pre-trained APIs into their application.
  3. Use BigQuery ML and create models using SQL.
  4. Build a model in AutoML using labeled data.

Answer(s): C



An organization wants a purpose-built AI solution to increase efficiency and provide personalized interactions for their customer care team.
Which Google Cloud AI solution should they use?

  1. Text-to-Speech API
  2. Cloud Talent Solution
  3. Document AI
  4. Contact Center AI

Answer(s): D



An organization wants to use an open source library with a flexible ecosystem of tools to create and train its own machine learning models.
Which product or solution should the organization use?

  1. Cloud Functions
  2. Apache Beam
  3. Dataflow
  4. TensorFlow

Answer(s): D



A cinema company wants to build a model to predict customer visit patterns for the coming year. They have three years of customer visit data across 300 theaters; however, the data has been stored in different formats by different theaters. They must train the ML model.
What should they do?

  1. Use the last year of data so there are fewer inconsistencies for the model to handle.
  2. Transform the data into a consistent format.
  3. Group different format types and train a different model for each group.
  4. Choose an ML model type that can process different formats of input data.

Answer(s): B



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