The correct answer is B. Add more clusters to the warehouse .
Queued queries on a multi-cluster warehouse usually indicate a concurrency problem. Multiple analysts are submitting queries at the same time, and the warehouse does not have enough active cluster capacity to process them concurrently.
Why B is correct:
Adding more clusters to a multi-cluster warehouse increases concurrency capacity. In Auto-scale mode, Snowflake can start additional clusters as needed, up to the configured maximum, to reduce queuing.
Why the other options are incorrect:
A). Scheduling or limiting reports may reduce concurrency, but it adds operational overhead and does not use Snowflake's built-in multi-cluster scaling capability.
C). Increasing warehouse size can make individual queries faster, but it does not directly improve concurrency as effectively as adding clusters.
D). A Snowpark-optimized warehouse is intended for memory-intensive Snowpark workloads, not for reducing query queues from many concurrent BI/ad hoc users.
Official Snowflake documentation reference:
Snowflake documentation explains that multi-cluster warehouses are designed to handle concurrency by automatically scaling out with additional clusters.
Reference: Snowflake Documentation - Multi-cluster warehouses; Warehouse load monitoring; SnowPro Core Study Guide - Snowflake Account and Resource Management.

The correct answer is A. Multi-Factor Authentication, or MFA .
Multi-Factor Authentication reduces the risk of relying only on a username and password. Even if a password is compromised, MFA requires an additional verification factor before the user can access Snowflake.
Why A is correct:
MFA strengthens password-based authentication by requiring an extra factor, such as a push approval, passcode, or other verification method. Snowflake's native MFA is powered by Duo Security.
Why the other options are incorrect:
B). Standard authentication usually refers to username and password authentication, which is exactly the risk the question wants to reduce.
C). Snowflake OAuth is an authorization/authentication integration method, but MFA is the direct feature designed to reduce password-only risk.
D). External OAuth can centralize authentication through an external identity provider, but the best Snowflake security feature for reducing password authentication risk is MFA.
Official Snowflake documentation reference:
Snowflake documentation describes MFA as an additional layer of security for user login and explains that Snowflake MFA is powered by Duo Security.
Reference: Snowflake Documentation - Multi-factor authentication; Snowflake Documentation - User authentication; SnowPro Core Study Guide - Security and Access Control.
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Parquet is a columnar storage file format that is optimized for performance in Snowflake. It is designed to be efficient for both storage and query performance, particularly for complex queries onlarge datasets. Parquet files support efficient compression and encoding schemes, which can lead to significant savings in storage and speed in query processing, making it the most performant file format for loading data into Snowflake.
References:
[ COF-C03 ] SnowPro Core Certification Exam Study Guide
Snowflake Documentation on Data Loading1

A Scoped URL permits temporary access to a staged file without the need to grant privileges to the stage or to issue access tokens.It provides a secure way to share access to files stored in Snowflake

To get the most detailed information about individual table storage details in Snowflake, the TABLE STORAGE METRICS view should be used. This Information Schema view provides granular storage metrics for tables within Snowflake, including data related to the size of the table, the amount of data stored, and storage usage over time. It's an essential tool for administrators and users looking to monitor and optimize storage consumption and costs.
References:
Snowflake Documentation: Information Schema - TABLE STORAGE METRICS View