Big Data and Machine Learning Coursera Quiz Answers – Week 8

All Weeks Google Cloud Platform Fundamentals: Core Infrastructure Quiz Answers

This Google Cloud Platform Fundamentals: Core Infrastructure course introduces you to important concepts and terminology for working with Google Cloud Platform (GCP).

You learn about, and compare, many of the computing and storage services available in Google Cloud Platform, including Google App Engine, Google Compute Engine, Google Kubernetes Engine, Google Cloud Storage, Google Cloud SQL, and BigQuery.

You learn about important resource and policy management tools, such as the Google Cloud Resource Manager hierarchy and Google Cloud Identity and Access Management. Hands-on labs give you foundational skills for working with GCP.

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Google Cloud Platform Fundamentals: Core Infrastructure – Quiz Answers

Big Data and Machine Learning

Q1. Name two use cases for Google Cloud Dataproc (Select 2 answers).

  • Data mining and analysis in datasets of known size
  • Migrate on-premises Hadoop jobs to the cloud
  • Manage data that arrives in realtime
  • Manage datasets of unpredictable size

Q2. Name two use cases for Google Cloud Dataflow (Select 2 answers).

  • Extract, Transform, and Load (ETL)
  • Orchestration
  • Manual resource management
  • Reserved compute instances

Q3. Name three use cases for the Google Cloud Machine Learning Platform (Select 3 answers).

  • Fraud detection
  • Data preparation
  • Sentiment analysis
  • Content personalization
  • Query architecture

Q4. Which statements are true about BigQuery? Choose all that are true (2 statements).

  • BigQuery is a good choice for data analytics warehousing.
  • BigQuery requires that you provision database instances ahead of use.
  • Once in BigQuery, data is not accessible from other GCP services.
  • BigQuery is a good choice for online transaction processing.
  • BigQuery lets you run fast SQL queries against large databases.

Q5. Name three use cases for Cloud Pub/Sub (Select 3 answers).

  • Analyzing streaming data
  • Storage of binary web content
  • Decoupling systems
  • Internet of Things applications
  • Executing ad-hoc SQL queries

Q6. What is TensorFlow?

  • A managed service for building machine learning models
  • An open-source software library that’s useful for building machine learning applications
  • A hardware device designed to accelerate machine learning workloads
  • A managed service for building data pipelines

Q7. What does the Cloud Natural Language API do?

  • It analyzes text to reveal its structure and meaning.
  • It translates arbitrary strings into any supported language.
  • It extracts text in various languages from images.
  • It performs sentiment analysis on audio and video content.

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Summary and Review

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Developing and Monitoring in the Cloud

All Google Cloud Platform Fundamentals: Core Infrastructure Quiz Answers

Week 01: Introducing Google Cloud Platform

Week 02: Getting Started with Google Cloud Platform

Week 03: Virtual Machines in the Cloud

Week 04: Storage in the Cloud

Week 05: Containers in the Cloud

Week 06: Applications in the Cloud

Week 07: Developing and Monitoring in the Cloud

Week 08: Big Data and Machine Learning

Week 09: Summary and Review

Google Cloud Platform Fundamentals: Core Infrastructure Coursera Course Review:

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Conclusion:

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This course is intended for audiences of all experiences who are interested in learning about new skills in a business context; there are no prerequisite courses.

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