Big Data and Machine Learning quiz answer | coursera

Big Data and Machine Learning

In This Quiz there are 7 Questions

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

• Migrate on-premises Hadoop jobs to the cloud
• Data mining and analysis in datasets of known size

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

• Orchestration
• Extract, Transform, and Load (ETL)

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

• Fraud detection
• Content personalization
• Sentiment analysis

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

• BigQuery lets you run fast SQL queries against large databases.
• BigQuery is a good choice for data analytics warehousing.

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

• Internet of Things applications
• Decoupling systems
• Analyzing streaming data

Q6) What is TensorFlow ?

• An open-source software library that’s useful for building machine learning applications

Q7) What does the Cloud Natural Language API do ?

• It analyzes text to reveal its structure and meaning.

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Google Cloud Platform Fundamentals: Core Infrastructure

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1. Introducing Google Cloud Platform Quiz Answer
2. Getting Started with Google Cloud Platform Quiz Answer
3. Google Compute Engine and Networking Quiz Answer
4. Google Cloud Platform Storage Options Quiz Answer
5. Containers, Kubernetes, and Kubernetes Engine Quiz Answer
6. Applications in the Cloud Quiz Answer
7. Developing, Deploying, and Monitoring in the Cloud Quiz Answer
8. Big Data and Machine Learning Quiz Answer
9. Summary and Review Quiz Answer