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Snowflake ARA-C01 (SnowPro Advanced Architect Certification) Exam is a highly sought-after certification in the field of data warehousing and cloud computing. ARA-C01 exam is designed to test the expertise of professionals in the area of Snowflake architecture and provide them with the necessary accreditation to operate as a SnowPro Advanced Architect.
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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q128-Q133):
NEW QUESTION # 128
A user, analyst_user has been granted the analyst_role, and is deploying a SnowSQL script to run as a background service to extract data from Snowflake.
What steps should be taken to allow the IP addresses to be accessed? (Select TWO).
- A. ALTERROLEANALYST_ROLESETNETWORK_POLICY='ANALYST_POLICY';
- B. ALTERUSERANALYSTJJSERSETNETWORK_POLICY='ANALYST_POLICY';
- C. USE ROLE USERADMIN;
CREATE OR REPLACE NETWORK POLICY ANALYST_POLICY
ALLOWED_IP_LIST = ('10.1.1.20'); - D. USE ROLE SECURITYADMIN;
CREATE OR REPLACE NETWORK POLICY ANALYST_POLICY ALLOWED_IP_LIST =
('10.1.1.20'); - E. ALTERUSERANALYST_USERSETNETWORK_POLICY='10.1.1.20';
Answer: B,D
Explanation:
To ensure that an analyst_user can only access Snowflake from specific IP addresses, the following steps are required:
* Option B: This alters the network policy directly linked to analyst_user. Setting a network policy on the user level is effective and ensures that the specified network restrictions apply directly and exclusively to this user.
* Option D: Before a network policy can be set or altered, the appropriate role with permission to manage network policies must be used. SECURITYADMIN is typically the role that has privileges to create and manage network policies in Snowflake. Creating a network policy that specifies allowed IP addresses ensures that only requests coming from those IPs can access Snowflake under this policy.
After creation, this policy can be linked to specific users or roles as needed.
Options A and E mention altering roles or using the wrong role (USERADMIN typically does not manage network security settings), and option C incorrectly attempts to set a network policy directly as an IP address, which is not syntactically or functionally valid.References: Snowflake's security management documentation covering network policies and role-based access controls.
NEW QUESTION # 129
How can an Architect enable optimal clustering to enhance performance for different access paths on a given table?
- A. Create multiple clustering keys for a table.
- B. Create multiple materialized views with different cluster keys.
- C. Create a clustering key that contains all columns used in the access paths.
- D. Create super projections that will automatically create clustering.
Answer: B
NEW QUESTION # 130
Which SQL alter command will MAXIMIZE memory and compute resources for a Snowpark stored procedure when executed on the snowpark_opt_wh warehouse?
- A. Option D
- B. Option B
- C. Option C
- D. Option A
Answer: D
Explanation:
To maximize memory and compute resources for a Snowpark stored procedure, you need to set the MAX_CONCURRENCY_LEVEL parameter for the warehouse that executes the stored procedure. This parameter determines the maximum number of concurrent queries that can run on a single warehouse. By setting it to 16, you ensure that the warehouse can use all the available CPU cores and memory on a single node, which is the optimal configuration for Snowpark-optimized warehouses. This will improve the performance and efficiency of the stored procedure, as it will not have to share resources with other queries or nodes. The other options are incorrect because they either do not change the MAX_CONCURRENCY_LEVEL parameter, or they set it to a lower value than 16, which will reduce the memory and compute resources for the stored procedure. Reference:
[Snowpark-optimized Warehouses] 1
[Training Machine Learning Models with Snowpark Python] 2
[Snowflake Shorts: Snowpark Optimized Warehouses] 3
NEW QUESTION # 131
When would you usually consider to add clustering key to a table
- A. it is a multi-terabyte size table
- B. The performance of the query has deteriorated over a period of time.
- C. The table has more than 20 columns
- D. The number of users querying the table has increased
Answer: A,B
NEW QUESTION # 132
A DevOps team has a requirement for recovery of staging tables used in a complex set of data pipelines. The staging tables are all located in the same staging schema. One of the requirements is to have online recovery of data on a rolling 7-day basis.
After setting up the DATA_RETENTION_TIME_IN_DAYS at the database level, certain tables remain unrecoverable past 1 day.
What would cause this to occur? (Choose two.)
- A. The DevOps role should be granted ALLOW_RECOVERY privilege on the staging schema.
- B. The staging schema has not been setup for MANAGED ACCESS.
- C. The tables exceed the 1 TB limit for data recovery.
- D. The staging tables are of the TRANSIENT type.
- E. The DATA_RETENTION_TIME_IN_DAYS for the staging schema has been set to 1 day.
Answer: D,E
Explanation:
* The DATA_RETENTION_TIME_IN_DAYS parameter controls the Time Travel retention period for an object (database, schema, or table) in Snowflake. This parameter specifies the number of days for
* which historical data is preserved and can be accessed using Time Travel operations (SELECT, CREATE ... CLONE, UNDROP)1.
* The requirement for recovery of staging tables on a rolling 7-day basis means that the DATA_RETENTION_TIME_IN_DAYS parameter should be set to 7 at the database level. However, this parameter can be overridden at the lower levels (schema or table) if they have a different value1.
* Therefore, one possible cause for certain tables to remain unrecoverable past 1 day is that the DATA_RETENTION_TIME_IN_DAYS for the staging schema has been set to 1 day. This would override the database level setting and limit the Time Travel retention period for all the tables in the schema to 1 day. To fix this, the parameter should be unset or set to 7 at the schema level1. Therefore, option B is correct.
* Another possible cause for certain tables to remain unrecoverable past 1 day is that the staging tables are of the TRANSIENT type. Transient tables are tables that do not have a Fail-safe period and can have a Time Travel retention period of either 0 or 1 day. Transient tables are suitable for temporary or intermediate data that can be easily reproduced or replicated2. To fix this, the tables should be created as permanent tables, which can have a Time Travel retention period of up to 90 days1. Therefore, option D is correct.
* Option A is incorrect because the MANAGED ACCESS feature is not related to the data recovery requirement. MANAGED ACCESS is a feature that allows granting access privileges to objects without explicitly granting the privileges to roles. It does not affect the Time Travel retention period or the data availability3.
* Option C is incorrect because there is no 1 TB limit for data recovery in Snowflake. The data storage size does not affect the Time Travel retention period or the data availability4.
* Option E is incorrect because there is no ALLOW_RECOVERY privilege in Snowflake. The privilege required to perform Time Travel operations is SELECT, which allows querying historical data in tables5.
References: : Understanding & Using Time Travel : Transient Tables : Managed Access : Understanding Storage Cost : Table Privileges
NEW QUESTION # 133
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