Google Professional Data Engineer Question 264
Select 3Google Cloud PlatformYou are managing a BigQuery environment for your organization. The data processing workloads have increased significantly, and you are tasked with ensuring consistent query performance while optimizing the use of compute resources. Which of the following steps should you take to effectively manage workloads and compute capacity in this scenario?
- A
Create a flat-rate reservation to allocate dedicated slots for your organization's workloads.
- B
Use BigQuery's on-demand pricing model to automatically allocate compute capacity based on workload demand.
- C
Set up workload management policies to assign queries to different job priorities such as high, medium, or low.
- D
Configure slot commitments to dynamically adjust the number of slots based on real-time query load.
- E
Monitor query execution patterns and adjust slot allocations as needed to prevent underutilization or over-provisioning.
Show answer and explanation
Correct answers: A, C, E
Explanation
To effectively manage workloads and compute capacity in BigQuery, you should use flat-rate reservations for predictable workloads, set workload management policies to prioritize jobs, and monitor query execution patterns to optimize slot usage. These steps ensure consistent query performance while avoiding underutilization or over-provisioning of compute resources.
- A. Correct.
Creating a flat-rate reservation is a best practice for predictable workloads since it allows you to allocate and control dedicated compute resources, which can ensure consistent performance.
- B. Incorrect.
Using BigQuery's on-demand pricing is suitable for unpredictable workloads but does not provide the same level of control over compute capacity as flat-rate reservations.
- C. Correct.
Setting up workload management policies helps prioritize critical queries and ensures that important workloads are not delayed by less critical ones.
- D. Incorrect.
Slot commitments in BigQuery are not dynamically adjustable in real-time. They require manual configuration and are typically used for predictable workloads.
- E. Correct.
Monitoring query execution patterns helps you understand resource utilization and allows you to fine-tune slot allocations to optimize performance and cost.