SNOWPRO-CORE Practice Questions: Snowflake AI Data Cloud Features and Architecture Domain
Test your SNOWPRO-CORE knowledge with 10 practice questions from the Snowflake AI Data Cloud Features and Architecture domain. Includes detailed explanations and answers.
SNOWPRO-CORE Practice Questions
Master the Snowflake AI Data Cloud Features and Architecture Domain
Test your knowledge in the Snowflake AI Data Cloud Features and Architecture domain with these 10 practice questions. Each question is designed to help you prepare for the SNOWPRO-CORE certification exam with detailed explanations to reinforce your learning.
Question 1
What is the primary benefit of using Snowflake's Virtual Private Snowflake (VPS) edition?
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Correct Answer: B
Explanation: The VPS edition provides dedicated cloud infrastructure, offering enhanced security and data isolation compared to shared environments. Improved query performance, lower storage costs, and automatic scaling are features available in other editions as well.
Question 2
Which Snowflake feature allows you to automatically scale compute resources to handle varying workloads efficiently?
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Correct Answer: A
Explanation: Multi-Cluster Warehouses in Snowflake allow for automatic scaling of compute resources by adding or removing clusters to handle varying workloads efficiently. Resource Monitors are used for monitoring usage, Data Cloning is for creating zero-copy clones, and Time Travel is for accessing historical data.
Question 3
How can you optimize the cost of running queries in Snowflake when dealing with large datasets?
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Correct Answer: B
Explanation: Enabling auto-suspend for virtual warehouses ensures that resources are only used when needed, reducing costs. Larger warehouses increase cost, using a single role does not affect cost optimization, and disabling query caching can lead to higher compute costs.
Question 4
Which of the following is a recommended practice for optimizing query performance in Snowflake?
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Correct Answer: C
Explanation: Leveraging result caching in Snowflake can significantly reduce query execution time by returning results from cache instead of re-executing the query. Option A is incorrect as using warehouses of appropriate sizes for different workloads is more efficient. Option B is incorrect because clustering keys can improve performance on large tables. Option D is incorrect as enabling auto-suspend helps manage costs effectively.
Question 5
Which of the following statements about Snowflake's virtual warehouses is correct?
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Correct Answer: A
Explanation: Virtual warehouses in Snowflake can be resized while running, allowing for dynamic scaling based on workload demands without downtime. Option B is incorrect because virtual warehouses are used for compute, not storage. Option C is incorrect as virtual warehouses can be set to auto-suspend. Option D is incorrect because they are charged based on compute usage, not storage.
Question 6
Which Snowflake feature allows you to replicate data and metadata across multiple regions to ensure high availability and disaster recovery?
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Correct Answer: C
Explanation: Account Replication in Snowflake enables the replication of data and metadata across different regions, providing high availability and disaster recovery capabilities. Time Travel and Fail-safe are related to data recovery at the table level, while Data Sharing allows sharing of data across accounts without replication.
Question 7
What is the primary use case for the VARIANT data type in Snowflake?
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Correct Answer: B
Explanation: The VARIANT data type is used for storing semi-structured data, such as JSON, in Snowflake. It allows for flexible schema and querying capabilities. Structured data is typically stored in traditional data types like STRING or NUMBER. Binary data is stored using the BINARY data type. Plain text data can be stored as STRING.
Question 8
In Snowflake, which feature allows you to automatically scale compute resources to handle varying workloads without manual intervention?
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Correct Answer: A
Explanation: Multi-cluster Warehouses in Snowflake can automatically scale the number of clusters based on query load, providing elasticity to handle varying workloads. Resource Monitors are for tracking usage, Materialized Views are for query performance, and Data Cloning is for creating copies of data without additional storage costs.
Question 9
When using Snowflake's COPY INTO command to load data into a table, which file format option is NOT supported?
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Correct Answer: D
Explanation: Snowflake's COPY INTO command supports loading data from CSV (A), JSON (B), and Parquet (C) file formats. XML (D) is not directly supported by the COPY INTO command for loading data into tables.
Question 10
A Snowflake user wants to enforce Multi-Factor Authentication (MFA) for all users in their account. What is the recommended approach to achieve this?
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Correct Answer: C
Explanation: Authentication Policies in Snowflake allow administrators to enforce MFA for all users at the account level. MFA cannot be enforced through network policies or user profile settings alone, and it requires configuration beyond just the web interface.
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About SNOWPRO-CORE Certification
The SNOWPRO-CORE certification validates your expertise in snowflake ai data cloud features and architecture and other critical domains. Our comprehensive practice questions are carefully crafted to mirror the actual exam experience and help you identify knowledge gaps before test day.
📘 SnowPro® Core Resources
- 🔒 Data Protection & Data Sharing – Practice Questions
- 🔄 Data Transformations – Practice Questions
- 📂 Data Loading & Unloading – Practice Questions
- ⚡ Performance & Cost Optimization – Practice Questions
- 🛡️ Account Access & Security – Practice Questions
- ☁️ AI Data Cloud & Architecture – Practice Questions
- ✅ SnowPro Core Cheat Sheet