Moduel Review2 : Google Cloud Platform Big Data and Machine Learning Fundamental Quiz Answers

Question 1 : Complete the following

You shoule feed your machine learning model your __ and not your __. it will learn those for itself!

• data, rules

Question 2 : True of Flase : Cloud SQL is a big data analytics warehouse

• False

Question 3 : True or False : If you are migrating your Hadoop workload to the cloud, you must first rewrite all your Spark jobs to be compliant with the cloud.

• False

Question 4: You are thinking about migrating your Hadoop workloads to the cloud and you have a few workloads that are fault-tolerant (they can handle interruptions of individual VMs gracefully). What are some architecture considerations you should explore in the cloud? choose all that apply

• 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

Question 5: Google Cloud Storage is a good options for stroing data that :

• May be required to be read at some later time (i.e. load a csv file into BigQuery)
• Mau be imported from a bucket into a Hadoop cluster for analysis

Question 6 : Relational databases are a good choice when you need :

• Transactional updates on relatively small datasets

Question 7 : Cloud SQL and Cloud Dataproc offer familiar tools(MySQL and Hadoop/Pig/Hive/Spark). What is the value-add provided by Google Cloud Platform?

• Running it on Google infrastructure offers reliability and cost savings
• Fully-managed versions of the software offer no-ops

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