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Professional-Data-Engineer Exam Dump - Professional-Data-Engineer Valid Test Fee

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Google Certified Professional Data Engineer Exam Sample Questions (Q24-Q29):

NEW QUESTION # 24
You have a petabyte of analytics data and need to design a storage and processing platform for it. You must be able to perform data warehouse-style analytics on the data in Google Cloud and expose the dataset as files for batch analysis tools in other cloud providers. What should you do?

A. Store the full dataset in BigQuery, and store a compressed copy of the data in a Cloud Storage bucket.
B. Store and process the entire dataset in Cloud Bigtable.
C. Store and process the entire dataset in BigQuery.
D. Store the warm data as files in Cloud Storage, and store the active data in BigQuery. Keep this ratio as 80% warm and 20% active.

Answer: D

NEW QUESTION # 25
To give a user read permission for only the first three columns of a table, which access control method would you use?

A. It's not possible to give access to only the first three columns of a table.
B. Primitive role
C. Authorized view
D. Predefined role

Answer: C

Explanation:
An authorized view allows you to share query results with particular users and groups without giving them read access to the underlying tables. Authorized views can only be created in a dataset that does not contain the tables queried by the view.
When you create an authorized view, you use the view's SQL query to restrict access to only the rows and columns you want the users to see.
Reference: https://cloud.google.com/bigquery/docs/views#authorized-views

NEW QUESTION # 26
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.

Answer: B,C

Explanation:
Explanation/Reference:

NEW QUESTION # 27
You are using Google BigQuery as your data warehouse. Your users report that the following simple query is running very slowly, no matter when they run the query:
SELECT country, state, city FROM [myproject:mydataset.mytable] GROUP BY country You check the query plan for the query and see the following output in the Read section of Stage:1:

What is the most likely cause of the delay for this query?

A. The [myproject:mydataset.mytable] table has too many partitions
B. Users are running too many concurrent queries in the system
C. Either the state or the city columns in the [myproject:mydataset.mytable] table have too many NULL values
D. Most rows in the [myproject:mydataset.mytable] table have the same value in the country column, causing data skew

Answer: B

NEW QUESTION # 28
You need to choose a database to store time series CPU and memory usage for millions of computers.
You need to store this data in one-second interval samples. Analysts will be performing real-time, ad hoc analytics against the database. You want to avoid being charged for every query executed and ensure that the schema design will allow for future growth of the dataset. Which database and data model should you choose?

A. Create a wide table in Cloud Bigtable with a row key that combines the computer identifier with the sample time at each minute, and combine the values for each second as column data.
B. Create a narrow table in Cloud Bigtable with a row key that combines the Computer Engine computer identifier with the sample time at each second
C. Create a wide table in BigQuery, create a column for the sample value at each second, and update the row with the interval for each second
D. Create a table in BigQuery, and append the new samples for CPU and memory to the table

Answer: B

Explanation:
https://cloud.google.com/bigtable/docs/schema-design-time-series

NEW QUESTION # 29
......

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