Big Data and Machine Learning Coursera Quiz Answers Week 8

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Big Data and Machine Learning Coursera Quiz Answers Week 8 – Here you will find all the questions and quiz answers related to Big Data and Machine Learning Coursera Quiz Answers

Big Data and Machine Learning Coursera Quiz Answers Week 8

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

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.

All Google Cloud Fundamentals: Core Infrastructure Quiz Answers –

Week 1 – Google Cloud Fundamentals: Core Infrastructure

Week 2 – Getting Started with Google Cloud Platform

Week 3 – Google Compute Engine and Networking

Week 4 – Storage In The Cloud

Week 5 – Containers in the Cloud 

Week 6 – Applications in the Cloud

Week 7 – Developing and Monitoring in the Cloud

Week 8 – Big Data and Machine Learning

Week 9 – Summary and Review

About Google Cloud Fundamentals: Core Infrastructure

Google Cloud Fundamentals: Core Infrastructure introduces important concepts and terminology for working with Google Cloud. Through videos and hands-on labs, this course presents and compares many of Google Cloud’s computing and storage services, along with important resource and policy management tools.

Enroll in this Course

What You Will Learn In Google Cloud Fundamentals: Core Infrastructure

  • Identify the purpose and value of Google Cloud products and services.
  • Choose among and use application deployment environments on Google Cloud: App Engine, Google Kubernetes Engine, and Compute Engine.
  • Choose among and use Google Cloud storage options: Cloud Storage, Cloud SQL, Cloud Bigtable, and Firestore.
  • Interact with Google Cloud services.

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