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Snowflake ARA-C01 Certification is highly respected in the industry and is recognized by many organizations as a standard of excellence in Snowflake architecture and implementation. Achieving this certification demonstrates an individual's commitment to their profession and their ability to provide high-quality and effective solutions to complex business problems. It also provides a competitive advantage in the job market, as many organizations look for certified Snowflake professionals to lead their data management initiatives.
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To be eligible to take the SnowPro Advanced Architect Certification exam, candidates must have a solid understanding of Snowflake data warehousing and data management concepts, as well as practical experience in designing and implementing Snowflake solutions. Candidates are also required to have completed the SnowPro Core Certification exam, which tests their foundational knowledge of Snowflake data warehousing and data management.
To take the Snowflake ARA-C01 exam, candidates must have previously passed the SnowPro Core Certification and have significant experience working with Snowflake's cloud data warehouse platform. ARA-C01 Exam consists of 60 multiple-choice questions and must be completed within 90 minutes. A passing score of 80% or higher is required to earn the SnowPro Advanced Architect Certification, which is recognized by organizations worldwide as a validation of advanced skill and knowledge in Snowflake data warehousing.
NEW QUESTION # 182
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.
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NEW QUESTION # 183
How do Snowflake databases that are created from shares differ from standard databases that are not created from shares? (Choose three.)
Answer: C,E,F
Explanation:
According to the SnowPro Advanced: Architect documents and learning resources, the ways that Snowflake databases that are created from shares differ from standard databases that are not created from shares are:
* Shared databases are read-only. This means that the data consumers who access the shared databases cannot modify or delete the data or the objects in the databases. The data providers who share the databases have full control over the data and the objects, and can grant or revoke privileges on them1.
* Shared databases cannot be cloned. This means that the data consumers who access the shared databases cannot create a copy of the databases or the objects in the databases. The data providers who share the databases can clone the databases or the objects, but the clones are not automatically shared2.
* Shared databases are not supported by Time Travel. This means that the data consumers who access the shared databases cannot use the AS OF clause to query historical data or restore deleted data. The data providers who share the databases can use Time Travel on the databases or the objects, but the historical data is not visible to the data consumers3.
The other options are incorrect because they are not ways that Snowflake databases that are created from shares differ from standard databases that are not created from shares. Option B is incorrect because shared databases do not need to be refreshed in order for new data to be visible. The data consumers who access the shared databases can see the latest data as soon as the data providers update the data1. Option E is incorrect because shared databases will not have the PUBLIC or INFORMATION_SCHEMA schemas without explicitly granting these schemas to the share. The data consumers who access the shared databases can only see the objects that the data providers grant to the share, and the PUBLIC and INFORMATION_SCHEMA schemas are not granted by default4. Option F is incorrect because shared databases cannot be created as transient databases. Transient databases are databases that do not support Time Travel or Fail-safe, and can be dropped without affecting the retention period of the data. Shared databases are always created as permanent databases, regardless of the type of the source database5. References: Introduction to Secure Data Sharing
|Snowflake Documentation, Cloning Objects | Snowflake Documentation, Time Travel | Snowflake Documentation, Working with Shares | Snowflake Documentation, CREATE DATABASE | Snowflake Documentation
NEW QUESTION # 184
What are some of the characteristics of result set caches? (Choose three.)
Answer: A,C,F
Explanation:
In Snowflake, the characteristics of result set caches include persistence of data results for 24 hours (B), each use of persisted results resets the 24-hour retention period (C), and result set caches are not shared between different warehouses (F). The result set cache is specifically designed to avoid repeated execution of the same query within this timeframe, reducing computational overhead and speeding up query responses. These caches do not contribute to storage costs, and their retention period cannot be extended beyond the default duration nor up to 31 days, as might be misconstrued.
Reference: Snowflake Documentation on Result Set Caching.
NEW QUESTION # 185
You are a snowflake architect in an organization. The business team came to to deploy an use case which requires you to load some data which they can visualize through tableau. Everyday new data comes in and the old data is no longer required.
What type of table you will use in this case to optimize cost
Answer: B
NEW QUESTION # 186
A global retail company must ensure comprehensive data governance, security, and compliance with various international regulations while using Snowflake for data warehousing and analytics.
What should an Architect do to meet these requirements? (Select TWO).
Answer: A,D
Explanation:
Snowflake provides built-in governance and security mechanisms that align with global regulatory requirements. Column-level security-implemented through features such as dynamic data masking and row access policies-allows architects to restrict access to sensitive data at a granular level based on roles or conditions (Answer B). This is essential for compliance with regulations such as GDPR, HIPAA, and similar frameworks that require limiting access to personally identifiable or sensitive data.
Role-Based Access Control (RBAC) is the foundation of Snowflake's security model and is critical for governing who can access which data and perform which actions (Answer D). By assigning privileges to roles instead of users, organizations can centrally manage permissions, enforce separation of duties, and audit access more effectively.
Snowflake does not support column-level network policies, and encryption keys are managed by Snowflake (or via Tri-Secret Secure), not manually by customers. Secure Data Sharing is useful for collaboration but is not a core requirement for governance and compliance in this scenario. For the SnowPro Architect exam, mastering RBAC and column-level security is essential for designing compliant and secure Snowflake architectures.
NEW QUESTION # 187
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