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MJTelco is building a custom interface to share data. They have these requirements:

They need to do aggregations over their petabyte-scale datasets.

They need to scan specific time range rows with a very fast response time (milliseconds).

Which combination of Google Cloud Platform products should you recommend?

A.

Cloud Datastore and Cloud Bigtable

B.

Cloud Bigtable and Cloud SQL

C.

BigQuery and Cloud Bigtable

D.

BigQuery and Cloud Storage

MJTelco’s Google Cloud Dataflow pipeline is now ready to start receiving data from the 50,000 installations. You want to allow Cloud Dataflow to scale its compute power up as required. Which Cloud Dataflow pipeline configuration setting should you update?

A.

The zone

B.

The number of workers

C.

The disk size per worker

D.

The maximum number of workers

You need to compose visualization for operations teams with the following requirements:

Telemetry must include data from all 50,000 installations for the most recent 6 weeks (sampling once every minute)

The report must not be more than 3 hours delayed from live data.

The actionable report should only show suboptimal links.

Most suboptimal links should be sorted to the top.

Suboptimal links can be grouped and filtered by regional geography.

User response time to load the report must be <5 seconds.

You create a data source to store the last 6 weeks of data, and create visualizations that allow viewers to see multiple date ranges, distinct geographic regions, and unique installation types. You always show the latest data without any changes to your visualizations. You want to avoid creating and updating new visualizations each month. What should you do?

A.

Look through the current data and compose a series of charts and tables, one for each possiblecombination of criteria.

B.

Look through the current data and compose a small set of generalized charts and tables bound to criteria filters that allow value selection.

C.

Export the data to a spreadsheet, compose a series of charts and tables, one for each possiblecombination of criteria, and spread them across multiple tabs.

D.

Load the data into relational database tables, write a Google App Engine application that queries all rows, summarizes the data across each criteria, and then renders results using the Google Charts and visualization API.

Which TensorFlow function can you use to configure a categorical column if you don't know all of the possible values for that column?

A.

categorical_column_with_vocabulary_list

B.

categorical_column_with_hash_bucket

C.

categorical_column_with_unknown_values

D.

sparse_column_with_keys

Which of the following job types are supported by Cloud Dataproc (select 3 answers)?

A.

Hive

B.

Pig

C.

YARN

D.

Spark

In order to securely transfer web traffic data from your computer's web browser to the Cloud Dataproc cluster you should use a(n) _____.

A.

VPN connection

B.

Special browser

C.

SSH tunnel

D.

FTP connection

You have a job that you want to cancel. It is a streaming pipeline, and you want to ensure that any data that is in-flight is processed and written to the output. Which of the following commands can you use on the Dataflow monitoring console to stop the pipeline job?

A.

Cancel

B.

Drain

C.

Stop

D.

Finish

By default, which of the following windowing behavior does Dataflow apply to unbounded data sets?

A.

Windows at every 100 MB of data

B.

Single, Global Window

C.

Windows at every 1 minute

D.

Windows at every 10 minutes

Scaling a Cloud Dataproc cluster typically involves ____.

A.

increasing or decreasing the number of worker nodes

B.

increasing or decreasing the number of master nodes

C.

moving memory to run more applications on a single node

D.

deleting applications from unused nodes periodically

Does Dataflow process batch data pipelines or streaming data pipelines?

A.

Only Batch Data Pipelines

B.

Both Batch and Streaming Data Pipelines

C.

Only Streaming Data Pipelines

D.

None of the above