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Question # 1



Your company has hired a new data scientist who wants to perform complicated analyses across very large datasets stored in Google Cloud Storage and in a Cassandra cluster on Google Compute Engine. The scientist primarily wants to create labelled data sets for machine learning projects, along with some visualization tasks. She reports that her laptop is not powerful enough to perform her tasks and it is slowing her down. You want to help her perform her tasks. What should you do?
A. Run a local version of Jupiter on the laptop.
B. Grant the user access to Google Cloud Shell.
C. Host a visualization tool on a VM on Google Compute Engine.
D. Deploy Google Cloud Datalab to a virtual machine (VM) on Google Compute Engine.



D.
  Deploy Google Cloud Datalab to a virtual machine (VM) on Google Compute Engine.





Question # 2



You want to use a database of information about tissue samples to classify future tissue samples as either normal or mutated. You are evaluating an unsupervised anomaly detection method for classifying the tissue samples. Which two characteristic support this method? (Choose two.)
A. There are very few occurrences of mutations relative to normal samples.
B. There are roughly equal occurrences of both normal and mutated samples in the database.
C. You expect future mutations to have different features from the mutated samples in the database.
D. You expect future mutations to have similar features to the mutated samples in the database.
E. You already have labels for which samples are mutated and which are normal in the database.



B.
  There are roughly equal occurrences of both normal and mutated samples in the database.


C.
  You expect future mutations to have different features from the mutated samples in the database.





Question # 3



You are designing the database schema for a machine learning-based food ordering
service that will predict what users want to eat. Here is some of the information you need to
store:
The user profile: What the user likes and doesn’t like to eat
The user account information: Name, address, preferred meal times
The order information: When orders are made, from where, to whom
The database will be used to store all the transactional data of the product. You want to
optimize the data schema. Which Google Cloud Platform product should you use?

A.

BigQuery

B.

Cloud SQL

C.

Cloud Bigtable

D.

Cloud Datastore




A.
  

BigQuery







Question # 4



Your company has recently grown rapidly and now ingesting data at a significantly higher
rate than it was previously. You manage the daily batch MapReduce analytics jobs in
Apache Hadoop. However, the recent increase in data has meant the batch jobs are falling
behind. You were asked to recommend ways the development team could increase the
responsiveness of the analytics without increasing costs. What should you recommend
they do?

A.

Rewrite the job in Pig.

B.

Rewrite the job in Apache Spark.

C.

Increase the size of the Hadoop cluster.

D.

Decrease the size of the Hadoop cluster but also rewrite the job in Hive.




A.
  

Rewrite the job in Pig.







Question # 5



Your company is loading comma-separated values (CSV) files into Google BigQuery. The
data is fully imported successfully; however, the imported data is not matching byte-to-byte
to the source file. What is the most likely cause of this problem?

A.

The CSV data loaded in BigQuery is not flagged as CSV.

B.

The CSV data has invalid rows that were skipped on import.

C.

 The CSV data loaded in BigQuery is not using BigQuery’s default encoding.

D.

The CSV data has not gone through an ETL phase before loading into BigQuery.




B.
  

The CSV data has invalid rows that were skipped on import.







Question # 6



You work for a large fast food restaurant chain with over 400,000 employees. You store
employee information in Google BigQuery in a Users table consisting of a FirstName field
and a LastName field. A member of IT is building an application and asks you to modify the
schema and data in BigQuery so the application can query a FullName field consisting of
the value of the FirstName field concatenated with a space, followed by the value of the
LastName field for each employee. How can you make that data available while minimizing
cost?

A.

Create a view in BigQuery that concatenates the FirstName and LastName field values
to produce the FullName.

B.

Add a new column called FullName to the Users table. Run an UPDATE statement that
updates the FullName column for each user with the concatenation of the FirstName and
LastName values.

C.

Create a Google Cloud Dataflow job that queries BigQuery for the entire Users table,
concatenates the FirstName value and LastName value for each user, and loads the
proper values for FirstName, LastName, and FullName into a new table in BigQuery.

D.

Use BigQuery to export the data for the table to a CSV file. Create a Google Cloud
Dataproc job to process the CSV file and output a new CSV file containing the proper
values for FirstName, LastName and FullName. Run a BigQuery load job to load the new
CSV file into BigQuery.




C.
  

Create a Google Cloud Dataflow job that queries BigQuery for the entire Users table,
concatenates the FirstName value and LastName value for each user, and loads the
proper values for FirstName, LastName, and FullName into a new table in BigQuery.







Question # 7



You create a new report for your large team in Google Data Studio 360. The report uses
Google BigQuery as its data source. It is company policy to ensure employees can view
only the data associated with their region, so you create and populate a table for each
region. You need to enforce the regional access policy to the data.
Which two actions should you take? (Choose two.)

A.

Ensure all the tables are included in global dataset.

B.

Ensure each table is included in a dataset for a region.

C.

Adjust the settings for each table to allow a related region-based security group view
access.

D.

Adjust the settings for each view to allow a related region-based security group view
access.

E.

Adjust the settings for each dataset to allow a related region-based security group view
access.




B.
  

Ensure each table is included in a dataset for a region.




D.
  

Adjust the settings for each view to allow a related region-based security group view
access.







Question # 8



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




A.
  

The zone







Question # 9



You need to compose visualizations for operations teams with the following requirements:
Which approach meets the requirements?

A.

Load the data into Google Sheets, use formulas to calculate a metric, and use
filters/sorting to show only suboptimal links in a table.

B.

Load the data into Google BigQuery tables, write Google Apps Script that queries the
data, calculates the metric, and shows only suboptimal rows in a table in Google Sheets.

C.

Load the data into Google Cloud Datastore tables, write a Google App Engine
Application that queries all rows, applies a function to derive the metric, and then renders
results in a table using the Google charts and visualization API.

D.

Load the data into Google BigQuery tables, write a Google Data Studio 360 report that
connects to your data, calculates a metric, and then uses a filter expression to show only
suboptimal rows in a table.




C.
  

Load the data into Google Cloud Datastore tables, write a Google App Engine
Application that queries all rows, applies a function to derive the metric, and then renders
results in a table using the Google charts and visualization API.







Question # 10



Flowlogistic’s CEO wants to gain rapid insight into their customer base so his sales team
can be better informed in the field. This team is not very technical, so they’ve purchased a
visualization tool to simplify the creation of BigQuery reports. However, they’ve been
overwhelmed by all the data in the table, and are spending a lot of money on queries trying
to find the data they need. You want to solve their problem in the most cost-effective way.
What should you do?

A.

Export the data into a Google Sheet for virtualization.

B.

Create an additional table with only the necessary columns.

C.

Create a view on the table to present to the virtualization tool.

D.

Create identity and access management (IAM) roles on the appropriate columns, so
only they appear in a query.




C.
  

Create a view on the table to present to the virtualization tool.






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Professional Data Engineer Exam Exam Dumps


Exam Code: Professional-Data-Engineer
Exam Name: Professional Data Engineer Exam

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