Google Cloud Certified Professional Data Engineer Dumps - Practice Questions - Post 20

Google Cloud Certified Professional Data Engineer Dumps - Practice Questions - Post 20

1. Which action can a Cloud Dataproc Viewer perform?

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Option A: Submit a job.

Option B: Create a cluster.

Option C: Delete a cluster.

Option D: List the jobs.

Answer(s):

Explanation:

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2. How would you query specific partitions in a BigQuery table?

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Option A: Use the DAY column in the WHERE clause

Option B: Use the EXTRACT(DAY) clause

Option C: Use the __PARTITIONTIME pseudo-column in the WHERE clause

Option D: Use DATE BETWEEN in the WHERE clause

Answer(s):

Explanation:

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3. If a dataset contains rows with individual people and columns for year of birth, country, and income, how many of the columns are continuous and how many are categorical?

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Option A: 1 continuous and 2 categorical

Option B: 3 categorical

Option C: 3 continuous

Option D: 2 continuous and 1 categorical

Answer(s):

Explanation:

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4. What are the minimum permissions needed for a service account used with Google Dataproc?

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Option A: Execute to Google Cloud Storage; write to Google Cloud Logging

Option B: Write to Google Cloud Storage; read to Google Cloud Logging

Option C: Execute to Google Cloud Storage; execute to Google Cloud Logging

Option D: Read and write to Google Cloud Storage; write to Google Cloud Logging

Answer(s):

Explanation:

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5. Dataproc clusters contain many configuration files. To update these files, you will need to use the --properties option. The format for the option is: file_prefix:property=_____.

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Option A: details

Option B: value

Option C: null

Option D: id

Answer(s):

Explanation:

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6. You are planning to use Google's Dataflow SDK to analyze customer data such as displayed below. Your project requirement is to extract only the customer name from the data source and then write to an output PCollection. Tom,555 X street Tim,553 Y street Sam, 111 Z street Which operation is best suited for the above data processing requirement?

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Option A: ParDo

Option B: Sink API

Option C: Source API

Option D: Data extraction

Answer(s):

Explanation:

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7. Which of these are examples of a value in a sparse vector? (Select 2 answers.)

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Option A: [0, 5, 0, 0, 0, 0]

Option B: [0, 0, 0, 1, 0, 0, 1]

Option C: [0, 1]

Option D: [1, 0, 0, 0, 0, 0, 0]

Answer(s):

Explanation:

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8. Which software libraries are supported by Cloud Machine Learning Engine?

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Option A: Theano and TensorFlow

Option B: Theano and Torch

Option C: TensorFlow

Option D: TensorFlow and Torch

Answer(s):

Explanation:

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9. Which of the following statements about Legacy SQL and Standard SQL is not true?

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Option A: Standard SQL is the preferred query language for BigQuery.

Option B: If you write a query in Legacy SQL, it might generate an error if you try to run it with Standard SQL.

Option C: One difference between the two query languages is how you specify fully-qualified table names (i.e. table names that include their associated project name).

Option D: You need to set a query language for each dataset and the default is Standard SQL.

Answer(s):

Explanation:

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10. Which of these is not a supported method of putting data into a partitioned table?

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Option A: If you have existing data in a separate file for each day, then create a partitioned table and upload each file into the appropriate partition.

Option B: Run a query to get the records for a specific day from an existing table and for the destination table, specify a partitioned table ending with the day in the format "$YYYYMMDD".

Option C: Create a partitioned table and stream new records to it every day.

Option D: Use ORDER BY to put a table's rows into chronological order and then change the table's type to "Partitioned".

Answer(s):

Explanation:

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11. Suppose you have a table that includes a nested column called "city" inside a column called "person", but when you try to submit the following query in BigQuery, it gives you an error. SELECT person FROM `project1.example.table1` WHERE city = "London" How would you correct the error?

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Option A: Add ", UNNEST(person)" before the WHERE clause.

Option B: Change "person" to "person.city".

Option C: Change "person" to "city.person".

Option D: Add ", UNNEST(city)" before the WHERE clause.

Answer(s):

Explanation:

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12. Which of these statements about BigQuery caching is true?

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Option A: By default, a query's results are not cached.

Option B: BigQuery caches query results for 48 hours.

Option C: Query results are cached even if you specify a destination table.

Option D: There is no charge for a query that retrieves its results from cache.

Answer(s):

Explanation:

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13. Which Google Cloud Platform service is an alternative to Hadoop with Hive?

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Option A: Cloud Dataflow

Option B: Cloud Bigtable

Option C: BigQuery

Option D: Cloud Datastore

Answer(s):

Explanation:

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14. What are all of the BigQuery operations that Google charges for?

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Option A: Storage, queries, and streaming inserts

Option B: Storage, queries, and loading data from a file

Option C: Storage, queries, and exporting data

Option D: Queries and streaming inserts

Answer(s):

Explanation:

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15. When using Cloud Dataproc clusters, you can access the YARN web interface by configuring a browser to connect through a ____ proxy.

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Option A: HTTPS

Option B: VPN

Option C: SOCKS

Option D: HTTP

Answer(s):

Explanation:

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

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Option A: VPN connection

Option B: Special browser

Option C: SSH tunnel

Option D: FTP connection

Answer(s):

Explanation:

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17. Which of the following is NOT one of the three main types of triggers that Dataflow supports?

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Option A: Trigger based on element size in bytes

Option B: Trigger that is a combination of other triggers

Option C: Trigger based on element count

Option D: Trigger based on time

Answer(s):

Explanation:

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18. Does Dataflow process batch data pipelines or streaming data pipelines?

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Option A: Only Batch Data Pipelines

Option B: Both Batch and Streaming Data Pipelines

Option C: Only Streaming Data Pipelines

Option D: None of the above

Answer(s):

Explanation:

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19. Which of the following is not true about Dataflow pipelines?

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Option A: Pipelines are a set of operations

Option B: Pipelines represent a data processing job

Option C: Pipelines represent a directed graph of steps

Option D: Pipelines can share data between instances

Answer(s):

Explanation:

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20. What are two of the benefits of using denormalized data structures in BigQuery?

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Option A: Reduces the amount of data processed, reduces the amount of storage required

Option B: Increases query speed, makes queries simpler

Option C: Reduces the amount of storage required, increases query speed

Option D: Reduces the amount of data processed, increases query speed

Answer(s):

Explanation:

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21. Which of the following are examples of hyperparameters? (Select 2 answers.)

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Option A: Number of hidden layers

Option B: Number of nodes in each hidden layer

Option C: Biases

Option D: Weights

Answer(s):

Explanation:

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22. What are two methods that can be used to denormalize tables in BigQuery?

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Option A: 1) Split table into multiple tables; 2) Use a partitioned table

Option B: 1) Join tables into one table; 2) Use nested repeated fields

Option C: 1) Use a partitioned table; 2) Join tables into one table

Option D: 1) Use nested repeated fields; 2) Use a partitioned table

Answer(s):

Explanation:

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23. Which of these numbers are adjusted by a neural network as it learns from a training dataset (select 2 answers)?

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Option A: Weights

Option B: Biases

Option C: Continuous features

Option D: Input values

Answer(s):

Explanation:

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24. Google Cloud Bigtable indexes a single value in each row. This value is called the _______.

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Option A: primary key

Option B: unique key

Option C: row key

Option D: master key

Answer(s):

Explanation:

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25. Cloud Dataproc charges you only for what you really use with _____ billing.

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Option A: month-by-month

Option B: minute-by-minute

Option C: week-by-week

Option D: hour-by-hour

Answer(s):

Explanation:

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26. What is the recommended action to do in order to switch between SSD and HDD storage for your Google Cloud Bigtable instance?

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Option A: create a third instance and sync the data from the two storage types via batch jobs

Option B: export the data from the existing instance and import the data into a new instance

Option C: run parallel instances where one is HDD and the other is SDD

Option D: the selection is final and you must resume using the same storage type

Answer(s):

Explanation:

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27. Which row keys are likely to cause a disproportionate number of reads and/or writes on a particular node in a Bigtable cluster (select 2 answers)?

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Option A: A sequential numeric ID

Option B: A timestamp followed by a stock symbol

Option C: A non-sequential numeric ID

Option D: A stock symbol followed by a timestamp

Answer(s):

Explanation:

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28. Which of these is NOT a way to customize the software on Dataproc cluster instances?

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Option A: Set initialization actions

Option B: Modify configuration files using cluster properties

Option C: Configure the cluster using Cloud Deployment Manager

Option D: Log into the master node and make changes from there

Answer(s):

Explanation:

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29. Which of the following are feature engineering techniques? (Select 2 answers)

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Option A: Hidden feature layers

Option B: Feature prioritization

Option C: Crossed feature columns

Option D: Bucketization of a continuous feature

Answer(s):

Explanation:

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30. How can you get a neural network to learn about relationships between categories in a categorical feature?

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Option A: Create a multi-hot column

Option B: Create a one-hot column

Option C: Create a hash bucket

Option D: Create an embedding column

Answer(s):

Explanation:

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