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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Objectives
Topic 1: Security, Governance, and Compliance	- Access control and security model 1. Role-based access control (RBAC) 2. Network security and authentication - Data governance 1. Data classification and masking policies 2. Audit and compliance features
Topic 2: Data Architecture and Design	- Data modeling and schema design 1. Semi-structured data modeling 2. Star and snowflake schema concepts - Design scalable Snowflake architectures 1. Account and environment strategy 2. Multi-cluster virtual warehouse design
Topic 3: Data Sharing and Collaboration	- Secure data sharing 1. Cross-account data sharing 2. Data marketplace concepts
Topic 4: Performance and Optimization	- Query performance tuning 1. Warehouse sizing and scaling 2. Query profiling and optimization techniques - Cost optimization 1. Resource monitoring and cost control 2. Storage and compute efficiency
Topic 5: Data Pipelines and Data Engineering	- Data orchestration 1. Tasks and Streams usage 2. Pipeline design patterns - Data ingestion and transformation 1. Snowpipe and continuous data loading 2. Batch and streaming ingestion

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ARA-C01 Prüfungsaufgaben, ARA-C01 Prüfungsfragen

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Snowflake SnowPro Advanced Architect Certification ARA-C01 Prüfungsfragen mit Lösungen (Q82-Q87):

82. Frage
How do Snowflake databases that are created from shares differ from standard databases that are not created from shares? (Choose three.)

A. Shared databases can also be created as transient databases.
B. Shared databases cannot be cloned.
C. Shared databases are not supported by Time Travel.
D. Shared databases will have the PUBLIC or INFORMATION_SCHEMA schemas without explicitly granting these schemas to the share.
E. Shared databases are read-only.
F. Shared databases must be refreshed in order for new data to be visible.

Antwort: B,C,E

Begründung:
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

83. Frage
Role A has the following permissions:
. USAGE on db1
. USAGE and CREATE VIEW on schemal in db1
. SELECT on tablel in schemal
Role B has the following permissions:
. USAGE on db2
. USAGE and CREATE VIEW on schema2 in db2
. SELECT on table2 in schema2
A user has Role A set as the primary role and Role B as a secondary role.
What command will fail for this user?

A. use database db2;
use schema schema2;
select * from db1.schemal.tablel union select * from table2;
B. use database db1;
use schema schemal;
select * from db2.schema2.table2;
C. use database db1;
use schema schemal;
create view v1 as select * from db2.schema2.table2;
D. use database db2;
use schema schema2;
create view v2 as select * from dbl.schemal. tablel;

Antwort: D

84. Frage
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).

A. Set masking policy conditions using current_role targeting the role in use for the current session.
B. Set masking policy conditions using is_role_in_session targeting the role in use for the current account.
C. Determine if there are ownership privileges on the masking policy that would allow the use of any function.
D. Set masking policy conditions using invoker_role targeting the executing role in a SQL statement.
E. Assign the accountadmin role to the user who is executing the object.

Antwort: A,D

Begründung:
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.
Context Functions
Advanced Column-level Security topics
Snowflake Data Governance: Column Level Security Overview
Data Security Snowflake Part 2 - Column Level Security

85. Frage
An Architect needs to design a solution for building environments for development, test, and pre-production, all located in a single Snowflake account. The environments should be based on production data.
Which solution would be MOST cost-effective and performant?

A. Use a Snowflake task to trigger a stored procedure to copy data.
B. Use zero-copy cloning into permanent tables.
C. Use zero-copy cloning into transient tables.
D. Use CREATE TABLE ... AS SELECT (CTAS) statements.

Antwort: C

Begründung:
Zero-copy cloning is a feature in Snowflake that allows for the creation of a clone of a database, schema, or table without duplicating any data, which is cost-effective as it saves on storage costs. Transient tables are temporary and do not incur storage costs for the time they are not accessed, making them a cost-effective option for development, test, and pre-production environments that do not require the durability of permanent tables123.
Reference
* Snowflake Documentation on Zero-Copy Cloning3.
* Articles discussing the cost-effectiveness and performance benefits of zero-copy cloning12.

86. Frage
The data share exists between a data provider account and a data consumer account. Five tables from the provider account are being shared with the consumer account. The consumer role has been granted the imported privileges privilege.
What will happen to the consumer account if a new table (table_6) is added to the provider schema?

A. The consumer role will see the table only after this grant is given on the provider side:
use role accountadmin;
Grant select on table EDW.ACCOUNTING.Table_6 to share PSHARE_EDW_4TEST;
B. The consumer role will automatically see the new table and no additional grants are needed.
C. The consumer role will see the table only after this grant is given on the provider side:
use role accountadmin;
grant usage on database EDW to share PSHARE_EDW_4TEST ;
grant usage on schema EDW.ACCOUNTING to share PSHARE_EDW_4TEST ;
Grant select on table EDW.ACCOUNTING.Table_6 to database PSHARE_EDW_4TEST_DB ;
D. The consumer role will see the table only after this grant is given on the consumer side:
grant imported privileges on database PSHARE_EDW_4TEST_DB to DEV_ROLE;

Antwort: C

Begründung:
When a new table (table_6) is added to a schema in the provider's account that is part of a data share, the consumer will not automatically see the new table. The consumer will only be able to access the new table once the appropriate privileges are granted by the provider. The correct process, as outlined in option D, involves using the provider's ACCOUNTADMIN role to grant USAGE privileges on the database and schema, followed by SELECT privileges on the new table, specifically to the share that includes the consumer's database. This ensures that the consumer account can access the new table under the established data sharing setup.References:
* Snowflake Documentation on Managing Access Control
* Snowflake Documentation on Data Sharing

87. Frage
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