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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Exam is a professional certification exam offered by Snowflake for individuals who wish to demonstrate advanced knowledge and skills in designing and implementing Snowflake solutions. ARA-C01 exam is the highest-level certification offered by Snowflake and is designed for architects, engineers, and consultants who work with Snowflake on a daily basis.
To qualify for the SnowPro Advanced Architect Certification, candidates must have at least two years of experience working with Snowflake and have already achieved the SnowPro Core or SnowPro Advanced certification. ARA-C01 Exam consists of 60 multiple-choice questions that cover a wide range of topics, including Snowflake architecture, security, data modeling, performance optimization, and integration with other systems. Candidates have 90 minutes to complete the exam, and a passing score of 80% or higher is required to earn the certification.
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Snowflake ARA-C01: SnowPro Advanced Architect Certification Exam is a comprehensive assessment designed to measure an individual's knowledge and expertise in advanced Snowflake architecture. It is the highest-level certification offered by Snowflake and is an essential step for professionals looking to advance their careers in the field of data warehousing and cloud computing.
NEW QUESTION # 13
You ran the below query. I have a warehouse with auto suspend set at 5 seconds
SELECT * FROM INVENTORY;
The query profile looks like as below. Please see below 'Percentage scanned from cache' is 0%
You ran the query again before 5 seconds has elapsed and the query profile looks as below. Look at the 'Percentage scanned for cache', it is 75%
You ran the query again after 5 seconds. The query profile looks as below. Look at the 'Percentage scanned from cache', it is zero again.
Why is this happening?
Answer: C
NEW QUESTION # 14
An Architect needs to improve the performance of reports that pull data from multiple Snowflake tables, join, and then aggregate the data. Users access the reports using several dashboards. There are performance issues on Monday mornings between 9:00am-11:00am when many users check the sales reports.
The size of the group has increased from 4 to 8 users. Waiting times to refresh the dashboards has increased significantly. Currently this workload is being served by a virtual warehouse with the following parameters:
AUTO-RESUME = TRUE AUTO_SUSPEND = 60 SIZE = Medium
What is the MOST cost-effective way to increase the availability of the reports?
Answer: A
Explanation:
The most cost-effective way to increase the availability and performance of the reports during peak usage times, while keeping costs under control, is to use a multi-cluster warehouse in auto-scale mode. Option D suggests using a multi-cluster warehouse with 1 size Medium cluster and allowing it to auto-scale between 1 and 4 clusters based on demand. This setup ensures that additional computing resources are available when needed (e.g., during Monday morning peaks) and are scaled down to minimize costs when the demand decreases. This approach optimizes resource utilization and cost by adjusting the compute capacity dynamically, rather than maintaining a larger fixed size or multiple clusters continuously.
References:Snowflake's official documentation on managing warehouses and using auto-scaling features.
NEW QUESTION # 15
In a managed access schema, what are characteristics of the roles that can manage object privileges? (Select TWO).
Answer: B,E
Explanation:
In a managed access schema, the privilege management is centralized with the schema owner, who has the authority to grant object privileges within the schema. Additionally, the SECURITYADMIN role has the capability to manage object grants globally, which includes within managed access schemas. Other roles, such as SYSADMIN or database owners, do not inherently have this privilege unless explicitly granted.
NEW QUESTION # 16
How can the Snowflake context functions be used to help determine whether a user is authorized to see data that has column-level security enforced? (Select TWO).
Answer: B,C
Explanation:
Snowflake context functions are functions that return information about the current session, user, role, warehouse, database, schema, or object. They can be used to help determine whether a user is authorized to see data that has column-level security enforced by setting masking policy conditions based on the context functions. The following context functions are relevant for column-level security:
current_role: This function returns the name of the role in use for the current session. It can be used to set masking policy conditions that target the current session and are not affected by the execution context of the SQL statement. For example, a masking policy condition using current_role can allow or deny access to a column based on the role that the user activated in the session.
invoker_role: This function returns the name of the executing role in a SQL statement. It can be used to set masking policy conditions that target the executing role and are affected by the execution context of the SQL statement. For example, a masking policy condition using invoker_role can allow or deny access to a column based on the role that the user specified in the SQL statement, such as using the AS ROLE clause or a stored procedure.
is_role_in_session: This function returns TRUE if the user's current role in the session (i.e. the role returned by current_role) inherits the privileges of the specified role. It can be used to set masking policy conditions that involve role hierarchy and privilege inheritance. For example, a masking policy condition using is_role_in_session can allow or deny access to a column based on whether the user's current role is a lower privilege role in the specified role hierarchy.
The other options are not valid ways to use the Snowflake context functions for column-level security:
Set masking policy conditions using is_role_in_session targeting the role in use for the current account. This option is incorrect because is_role_in_session does not target the role in use for the current account, but rather the role in use for the current session. Also, the current account is not a role, but rather a logical entity that contains users, roles, warehouses, databases, and other objects.
Determine if there are ownership privileges on the masking policy that would allow the use of any function. This option is incorrect because ownership privileges on the masking policy do not affect the use of any function, but rather the ability to create, alter, or drop the masking policy. Also, this is not a way to use the Snowflake context functions, but rather a way to check the privileges on the masking policy object.
Assign the accountadmin role to the user who is executing the object. This option is incorrect because assigning the accountadmin role to the user who is executing the object does not involve using the Snowflake context functions, but rather granting the highest-level role to the user. Also, this is not a recommended practice for column-level security, as it would give the user full access to all objects and data in the account, which could compromise data security and governance.
Reference:
Context Functions
Advanced Column-level Security topics
Snowflake Data Governance: Column Level Security Overview
Data Security Snowflake Part 2 - Column Level Security
NEW QUESTION # 17
Materialized views based on external tables can improve query performance
Answer: B
NEW QUESTION # 18
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