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Google Exam Professional Data Engineer Topic 2 Question 93 Discussion

Actual exam question for Google's Professional Data Engineer exam
Question #: 93
Topic #: 2
[All Professional Data Engineer Questions]

When creating a new Cloud Dataproc cluster with the projects.regions.clusters.create operation, these four values are required: project, region, name, and ____.

Show Suggested Answer Hide Answer
Suggested Answer: C

To improve the performance of querying a large BigQuery table with filters on countryname and username, clustering the table by these fields is the most effective approach. Here's why option C is the best choice:

Clustering in BigQuery:

Clustering organizes data based on the values in specified columns. This can significantly improve query performance by reducing the amount of data scanned during query execution.

Clustering by countryname and username means that data is physically sorted and stored together based on these fields, allowing BigQuery to quickly locate and read only the relevant data for queries using these filters.

Filter Efficiency:

With the table clustered by countryname and username, queries that filter on these columns can benefit from efficient data retrieval, reducing the amount of data processed and speeding up query execution.

This directly addresses the performance issue of the dashboard queries that apply filters on these fields.

Steps to Implement:

Redesign the Table:

Create a new table with clustering on countryname and username:

CREATE TABLE project.dataset.new_table

CLUSTER BY countryname, username AS

SELECT * FROM project.dataset.customer_order;

Migrate Data:

Transfer the existing data from the original table to the new clustered table.

Update Queries:

Modify the dashboard queries to reference the new clustered table.


BigQuery Clustering Documentation

Optimizing Query Performance

Contribute your Thoughts:

Clorinda
2 days ago
Hmm, I'm pretty sure it's C) label. I mean, what's a Dataproc cluster without a cool label, am I right?
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Louis
5 days ago
I agree with Dexter. The zone parameter is necessary to specify the location of the cluster within the region.
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Dexter
10 days ago
I think it's A) zone because clusters are often associated with specific zones in Cloud Dataproc.
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Eric
12 days ago
A) zone
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