Quiz 2026 Snowflake ARA-C01: Useful SnowPro Advanced Architect Certification Dumps Free

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Snowflake ARA-C01 Exam Syllabus Topics:

SectionWeightObjectives
Snowflake Architecture30%- Storage and Compute Design
  • 1. Micro-partitions and clustering
  • 2. Database and schema design
  • 3. Warehouse sizing and scaling
- Platform Architecture Design
  • 1. Data sharing architecture
  • 2. Cross-region and cross-cloud architecture
  • 3. Organization and account structure
  • 4. Multi-account strategies
Accounts and Security25%- Access Control and Authentication
  • 1. SSO and MFA
  • 2. Network policies
  • 3. Role-based access control
  • 4. Data masking and row access policies
- Governance and Compliance
  • 1. Object ownership and privilege management
  • 2. Data governance strategies
  • 3. Encryption and security architecture
Performance Optimization20%- Query Performance
  • 1. Query profiling and tuning
  • 2. Search optimization service
  • 3. Materialized views
  • 4. Caching strategies
- Cost and Resource Optimization
  • 1. Concurrency scaling
  • 2. Resource monitors
  • 3. Warehouse cost optimization
Data Engineering25%- Data Loading and Pipelines
  • 1. Bulk and continuous data loading
  • 2. Snowpipe and tasks
  • 3. External stages and file formats
  • 4. Streams and CDC
- Data Transformation
  • 1. Data modeling strategies
  • 2. ETL and ELT design
  • 3. Semi-structured data processing

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q201-Q206):

NEW QUESTION # 201
A company needs to have the following features available in its Snowflake account:
1. Support for Multi-Factor Authentication (MFA)
2. A minimum of 2 months of Time Travel availability
3. Database replication in between different regions
4. Native support for JDBC and ODBC
5. Customer-managed encryption keys using Tri-Secret Secure
6. Support for Payment Card Industry Data Security Standards (PCI DSS)
In order to provide all the listed services, what is the MINIMUM Snowflake edition that should be selected during account creation?

Answer: B


NEW QUESTION # 202
An Architect needs to define a table structure for an unfamiliar semi-structured data set. The Architect wants to identify a list of distinct key names present in the semi-structured objects.
What function should be used?

Answer: B

Explanation:
When working with unfamiliar semi-structured data such as JSON, a common first step is to explore its structure and identify all possible keys. Snowflake's FLATTEN function is specifically designed to explode VARIANT, OBJECT, or ARRAY data into relational form. Using the RECURSIVE option allows FLATTEN to traverse nested objects and arrays, returning all nested keys regardless of depth (Answer A).
This approach enables architects to query and aggregate distinct key names, making it ideal for schema discovery and exploratory analysis. INFER_SCHEMA, by contrast, is used primarily with staged files to infer column definitions for external tables or COPY operations, not for exploring existing VARIANT data already stored in tables. PARSE_JSON simply converts a string into a VARIANT type and does not help identify keys. RESULT_SCAN is used to query the results of a previously executed query and is unrelated to schema discovery.
For SnowPro Architect candidates, this highlights an important semi-structured data design pattern: using FLATTEN (often with RECURSIVE) to explore, profile, and understand evolving data structures before committing to a relational schema or transformation pipeline.
=========


NEW QUESTION # 203
An Architect is designing Snowflake architecture to support fast Data Analyst reporting. To optimize costs, the virtual warehouse is configured to auto-suspend after 2 minutes of idle time. Queries are run once in the morning after refresh, but later queries run slowly.
Why is this occurring?

Answer: D

Explanation:
Snowflake virtual warehouses maintain a local result and data cache only while the warehouse is running.
When a warehouse is suspended-whether manually or via auto-suspend-the local cache is cleared. As a result, subsequent queries cannot benefit from cached data and must re-scan data from remote storage, leading to slower execution (Answer D).
Snowflake does maintain a global result cache at the cloud services layer, but it is only used when the exact same query text is re-executed and the underlying data has not changed. In many analytical workloads, queries vary slightly, preventing reuse of the result cache.
Warehouse size and multi-cluster configuration impact concurrency and throughput, not cache persistence.
There is no USE_CACHE parameter in Snowflake. This question tests an architect's understanding of Snowflake caching behavior and the tradeoff between aggressive auto-suspend for cost control and cache reuse for performance.
=========


NEW QUESTION # 204
Snowflake data replication can be used to replicate data between cloud providers.

Answer: B


NEW QUESTION # 205
An Architect is using SnowCD to investigate a connectivity issue.
Which system function will provide a list of endpoints that the network must be able to access to use a specific Snowflake account, leveraging private connectivity?

Answer: C

Explanation:
The SYSTEM$GET_PRIVATELINK function is used to retrieve the list of Snowflake service endpoints that need to be accessible when configuring private connectivity (such as AWS PrivateLink or Azure Private Link) for a Snowflake account. The function returns information necessary for setting up the networking infrastructure that allows secure and private access to Snowflake without using the public internet. SnowCD can then be used to verify connectivity to these endpoints.


NEW QUESTION # 206
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