Module Review (Quiz-2)

Module Review >> Google Cloud Platform Big Data and Machine Learning Fundamentals

rules, data

if/then statements, data

data, rules

True

False

True

False

Use PVMs or Preemptible Virtual Machines

Migrate your storage from on-cluster HDFS to off-cluster Google Cloud Storage (GCS)

Consider having multiple Cloud Dataproc instances for each priority workload and then turning them down when not in use

Will be accessed frequently and updated constantly with new transactions from a front-end and needs to be stored in a relational database

May be required to be read at some later time (i.e. load a CSV file into BigQuery)

Is ingested in real-time from sensors and other devices and supports SQL-based queries

May be imported from a bucket into a Hadoop cluster for analysis

Fast queries on terabytes of data

Transactional updates on relatively small datasets

Aggregations on unstructured data

Streaming, high-throughput writes

Fully-managed versions of the software offer no-ops

Google-proprietary extensions and bug fixes to MySQL, Hadoop, and so on

It’s the same API, but Google implements it better

Running it on Google infrastructure offers reliability and cost savings

Module Review >> Google Cloud Platform Big Data and Machine Learning Fundamentals