You Are Creating a New Pipeline in Google Cloud to Stream

question 238

Multiple Choice

You are creating a new pipeline in Google Cloud to stream IoT data from Cloud Pub/Sub through Cloud Dataflow to BigQuery. While previewing the data, you notice that roughly 2% of the data appears to be corrupt. You need to modify the Cloud Dataflow pipeline to filter out this corrupt data. What should you do?

• A) Add a SideInput that returns a Boolean if the element is corrupt.
• B) Add a ParDo transform in Cloud Dataflow to discard corrupt elements.
• C) Add a Partition transform in Cloud Dataflow to separate valid data from corrupt data.
• D) Add a GroupByKey transform in Cloud Dataflow to group all of the valid data together and discard the rest.

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Definitions:

Bilateral Mistake

A legal term referring to a misunderstanding where both parties to a contract have incorrect beliefs about an essential fact of the agreement.

Unilateral Mistake

Mistake as to a material fact on the part of only one party to a contract. In this situation, the contract is normally enforceable against the mistaken party, with some exceptions.

Rescission

A remedy in which the contract is canceled and the parties are returned to the positions they occupied before the contract was made.

Contract

A legally binding agreement between two or more parties that outlines duties, obligations, and conditions that are enforceable by law.