COF-C03 Practice Question: Snowflake AI Data Cloud Features and Architecture
Exhibit
ALTER WAREHOUSE WH_PROD SET MAX_CONCURRENCY_LEVEL = 16;
Refer to the exhibit. What is the impact of changing the MAX_CONCURRENCY_LEVEL parameter on this warehouse?
⚠ Common exam trap
Candidates often assume increasing concurrency improves speed. They forget that resources are finite; increasing concurrent queries on a single cluster can actually slow down each individual query.
Answer choices
Why each option matters
Answer the question above first, then reveal the full breakdown to understand why each option is right or wrong.
Correct answer & explanation
✓
It allows each cluster to run more queries simultaneously.
The MAX_CONCURRENCY_LEVEL parameter controls the number of concurrent queries a single cluster can handle before queuing begins. By increasing this value, you allow more queries to run in parallel on the same compute resources. However, this also divides the CPU and memory among more queries, which can lead to individual query performance degradation if the workload is compute-intensive, making it a critical tuning parameter for balancing throughput and performance.
Answer analysis
Option-by-option breakdown
For each option: why learners choose it and why it is or isn't the right answer here.
- ✗
It increases the number of clusters in the warehouse.
Why it's wrong here
This parameter does not change the number of clusters in a multi-cluster warehouse. It only changes how many queries each individual cluster is allowed to execute at once. Scaling the number of clusters is controlled by the MIN_CLUSTER_COUNT and MAX_CLUSTER_COUNT parameters, which are distinct from concurrency limits.
- ✓
It allows each cluster to run more queries simultaneously.
Why this is correct
Increasing this setting raises the threshold for concurrent query execution on a single cluster. This is beneficial for high-concurrency, low-complexity workloads where you want to maximize the utilization of your compute resources, although it may impact the latency of individual queries if they become resource-starved.
- ✗
It scales the warehouse size (e.g., X-SMALL to SMALL).
Why it's wrong here
Warehouse size (e.g., X-SMALL, SMALL, MEDIUM) is changed using the WAREHOUSE_SIZE parameter. MAX_CONCURRENCY_LEVEL is a separate configuration that adjusts the queuing logic within the existing compute capacity, not the compute capacity itself, which is defined by the number of nodes per cluster.
- ✗
It disables the auto-scaling capabilities of the warehouse.
Why it's wrong here
Changing the concurrency level has no impact on the auto-scaling logic of a multi-cluster warehouse. The warehouse will still add or remove clusters based on the scaling policy and the demand, regardless of how many queries it is currently configured to handle within each individual cluster.
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JA
Written and reviewed by Johnson Ajibi, MSc IT Security
Senior Network & Security Engineer · founder of Courseiva
Last reviewed September 2026 · checked against the official Snowflake exam blueprint
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