Big Data and Machine Learning

1. 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

2. Name two use cases for Google Cloud Dataflow (Select 2 answers).
Extract, Transform, and Load (ETL)
Orchestration

3. Name three use cases for the Google Cloud Machine Learning Platform (Select 3 answers).
Sentiment analysis
Content personalization
Fraud detection

4. 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.

5. Name three use cases for Cloud Pub/Sub (Select 3 answers).
Analyzing streaming data
Decoupling systems
Internet of Things applications

6. What is TensorFlow?
An open-source software library that’s useful for building machine learning applications

7. What does the Cloud Natural Language API do?
It analyzes text to reveal its structure and meaning.