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| Section | Weight | Objectives |
|---|---|---|
| Data Engineering | 25% | - Data Transformation
|
| Performance Optimization | 20% | - Cost and Resource Optimization
|
| Snowflake Architecture | 30% | - Platform Architecture Design
|
| Accounts and Security | 25% | - Access Control and Authentication
|
ARA-C01試験問題には他にも多くの利点があります。 ARA-C01学習ガイドを完全に理解するため。まず、ARA-C01試験トレントの機能と機能の紹介をご覧ください。Snowflake製品のページではデモを提供しており、購入前にタイトルの一部を理解し、ソフトウェアを開いた後のソフトウェアの形式を確認できます。クライアントは、Webサイトの製品のページにアクセスできます。したがって、クライアントはARA-C01クイズトレントをよく理解し、ARA-C01試験問題を購入するかどうかを希望に応じて決定できます。
質問 # 189
A Snowflake account has the following parameters:
* MIN_DATA_RETENTION_TIME_IN_DAYS is set to 5 at the account level.
* DATA_RETENTION_TIME_IN_DAYS is set to 4 on database DB1, and 6 on Schema1 in DB1.
* DATA_RETENTION_TIME_IN_DAYS is set to 5 on database DB2, and 8 on Schema2 in DB2.What will be the result?
正解:A
解説:
Comprehensive and Detailed 150 to 250 words of Explanation From Snowflake SnowPro Architect exam scope and all publicly documented material:
Snowflake Time Travel retention is governed by a parameter hierarchy and by edition-dependent limits, but the key behavior in this scenario is the minimum retention guardrail.
MIN_DATA_RETENTION_TIME_IN_DAYS sets a floor: objects cannot effectively use a DATA_RETENTION_TIME_IN_DAYS value below that minimum. With an account-level minimum of 5 days, a database-level setting of 4 days is below the permitted minimum, so the effective retention for DB1 cannot be 4 days; it must be at least 5 days. Meanwhile, Schema1 is set to 6 days, which is above the minimum and should apply at the schema level (schemas can override their parent database settings within allowed bounds). For DB2, the database setting is 5 days, which matches the minimum and is valid; Schema2 at 8 days is also valid and applies to objects under that schema where applicable. From an architectural and operational perspective, this highlights two exam-relevant points: (1) retention is controlled via hierarchical parameters (account # database # schema # table), and (2) minimum retention settings enforce governance constraints across environments, preventing overly aggressive reductions that might violate recovery requirements.
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質問 # 190
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 schem a. 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.)
正解:A、C
質問 # 191
What is a characteristic of Role-Based Access Control (RBAC) as used in Snowflake?
正解:D
解説:
Role-Based Access Control (RBAC) is the Snowflake Access Control Framework that allows privileges to be granted by object owners to roles, and roles, in turn, can be assigned to users to restrict or allow actions to be performed on objects. A characteristic of RBAC as used in Snowflake is:
Privileges can be granted at the database level and can be inherited by all underlying objects. This means that a role that has a certain privilege on a database, such as CREATE SCHEMA or USAGE, can also perform the same action on any schema, table, view, or other object within that database, unless explicitly revoked. This simplifies the access control management and reduces the number of grants required.
A user can create managed access schemas to support future grants and ensure only schema owners can grant privileges to other roles. This means that a user can create a schema with the MANAGED ACCESS option, which changes the default behavior of object ownership and privilege granting within the schema. In a managed access schema, object owners lose the ability to grant privileges on their objects to other roles, and only the schema owner or a role with the MANAGE GRANTS privilege can do so. This enhances the security and governance of the schema and its objects.
The other options are not characteristics of RBAC as used in Snowflake:
A user can use a "super-user" access along with securityadmin to bypass authorization checks and access all databases, schemas, and underlying objects. This is not true, as there is no such thing as a "super-user" access in Snowflake. The securityadmin role is a predefined role that can manage users and roles, but it does not have any privileges on any database objects by default. To access any object, the securityadmin role must be explicitly granted the appropriate privilege by the object owner or another role with the grant option.
A user can create managed access schemas to support current and future grants and ensure only object owners can grant privileges to other roles. This is not true, as this contradicts the definition of a managed access schema. In a managed access schema, object owners cannot grant privileges on their objects to other roles, and only the schema owner or a role with the MANAGE GRANTS privilege can do so.
Overview of Access Control
A Functional Approach For Snowflake's Role-Based Access Controls
Snowflake Role-Based Access Control simplified
Snowflake RBAC security prefers role inheritance to role composition
Overview of Snowflake Role Based Access Control
質問 # 192
Running EXPLAIN on a query does not require a running warehouse
正解:A
質問 # 193
There are two databases in an account, named fin_db and hr_db which contain payroll and employee data, respectively. Accountants and Analysts in the company require different permissions on the objects in these databases to perform their jobs. Accountants need read-write access to fin_db but only require read-only access to hr_db because the database is maintained by human resources personnel.
An Architect needs to create a read-only role for certain employees working in the human resources department.
Which permission sets must be granted to this role?
正解:D
解説:
* To create a read-only role for certain employees working in the human resources department, the role needs to have the following permissions on the hr_db database:
* USAGE on the database: This allows the role to access the database and see its schemas and objects.
* USAGE on all schemas in the database: This allows the role to access the schemas and see their objects.
* SELECT on all tables in the database: This allows the role to query the data in the tables.
* Option A is the correct answer because it grants the minimum permissions required for a read-only role on the hr_db database.
* Option B is incorrect because SELECT on schemas is not a valid permission. Schemas only support USAGE and CREATE permissions.
* Option C is incorrect because MODIFY on the database is not a valid permission. Databases only support USAGE, CREATE, MONITOR, and OWNERSHIP permissions. Moreover, USAGE on tables is not sufficient for querying the data. Tables support SELECT, INSERT, UPDATE, DELETE, TRUNCATE, REFERENCES, and OWNERSHIP permissions.
* Option D is incorrect because REFERENCES on tables is not relevant for querying the data.
REFERENCES permission allows the role to create foreign key constraints on the tables.
https://docs.snowflake.com/en/user-guide/security-access-control-privileges.html#database-privileges
https://docs.snowflake.com/en/user-guide/security-access-control-privileges.html#schema-privileges
https://docs.snowflake.com/en/user-guide/security-access-control-privileges.html#table-privileges
質問 # 194
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