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Achieving the Google Certified Professional Data Engineer certification demonstrates to employers and colleagues that an individual has the knowledge and skills necessary to design and build data processing systems on Google Cloud Platform. Google Certified Professional Data Engineer Exam certification can open up new career opportunities and help individuals advance in their current roles.
NEW QUESTION # 15
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 schem a. Which Google Cloud Platform product should you use?
Answer: C
Explanation:
Topic 5, Practice Questions
NEW QUESTION # 16
Which software libraries are supported by Cloud Machine Learning Engine?
Answer: B
Explanation:
Cloud ML Engine mainly does two things:
Enables you to train machine learning models at scale by running TensorFlow training applications in the cloud.
Hosts those trained models for you in the cloud so that you can use them to get predictions
about new data.
NEW QUESTION # 17
Your team runs a complex analytical query daily that processes terabytes of data. Recently, after running for
20 minutes, the query fails with a "Resources exceeded" error. You need to resolve this issue. What should you do?
Answer: B
Explanation:
Comprehensive and Detailed Explanation:The error message "Resources exceeded" in BigQuery indicates that the query's execution plan is too complex or requires more computational resources (slots) than are available to it in the on-demand, fair-share pool.
Option D is the correct answer. BigQuery's on-demand pricing model uses a massive, shared pool of processing units called slots. While this pool is large, a single query cannot monopolize it, and there are limits to prevent runaway jobs. For consistently complex, high-resource queries, the solution is to switch to capacity- based pricing by purchasing slot reservations (e.g., using BigQuery editions). This provides your project with a dedicated, guaranteed amount of processing capacity, ensuring your complex queries have the resources they need to complete successfully.
Option A is incorrect because API request quotas relate to the number of API calls (e.g., how many jobs you can submit per minute), not the computational resources allocated to a single running query.
Option B is incorrect because table size limits are not related to query execution resources.
Option C is incorrect because while a syntax error would cause a query to fail, it would do so immediately with a syntax error message, not after 20 minutes with a "Resources exceeded" error. While optimizing the query is a good practice, the most direct way to solve a resource limit issue is to provide more resources.
Reference (Google Cloud Documentation Concepts):The Google Cloud documentation on "BigQuery pricing" explains the two main models: on-demand pricing and capacity-based pricing (editions). The
"Resources exceeded" error is a known limitation of the on-demand model for extremely demanding queries.
The documentation on "Introduction to slots" and "Reservations" explicitly presents purchasing dedicated slots as the solution for gaining more predictable and higher query performance for demanding workloads.
NEW QUESTION # 18
Your company uses separate Google Cloud projects for development, staging, and production.
Developers need edit access in the development project, read-only access in the staging project, and no access in the production project. You need an effective and manageable solution to assign and enforce these permissions according to Google-recommended practices. What should you do?
Answer: D
Explanation:
Using Google Groups to represent access levels and assigning IAM roles to those groups at the project level provides a scalable and maintainable access control model. This approach aligns with Google-recommended best practices by centralizing identity management, simplifying permission changes, and consistently enforcing least-privilege access across development, staging, and production environments.
NEW QUESTION # 19
You are administering shared BigQuery datasets that contain views used by multiple teams in your organization. The marketing team is concerned about the variability of their monthly BigQuery analytics spend using the on-demand billing model. You need to help the marketing team establish a consistent BigQuery analytics spend each month. What should you do?
Answer: D
NEW QUESTION # 20
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