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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Data Engineering	25%	- Data Loading and Pipelines 1. External stages and file formats 2. Streams and CDC 3. Bulk and continuous data loading 4. Snowpipe and tasks - Data Transformation 1. Semi-structured data processing 2. ETL and ELT design 3. Data modeling strategies
Topic 2: Snowflake Architecture	30%	- Storage and Compute Design 1. Database and schema design 2. Warehouse sizing and scaling 3. Micro-partitions and clustering - Platform Architecture Design 1. Cross-region and cross-cloud architecture 2. Multi-account strategies 3. Organization and account structure 4. Data sharing architecture
Topic 3: Accounts and Security	25%	- Access Control and Authentication 1. SSO and MFA 2. Role-based access control 3. Data masking and row access policies 4. Network policies - Governance and Compliance 1. Data governance strategies 2. Encryption and security architecture 3. Object ownership and privilege management
Topic 4: Performance Optimization	20%	- Cost and Resource Optimization 1. Concurrency scaling 2. Resource monitors 3. Warehouse cost optimization - Query Performance 1. Caching strategies 2. Query profiling and tuning 3. Search optimization service 4. Materialized views

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q63-Q68):

NEW QUESTION # 63
Which of the following are characteristics of how row access policies can be applied to external tables? (Choose three.)

A. While cloning a database, both the row access policy and the external table will be cloned.
B. A row access policy can be applied to the VALUE column of an existing external table.
C. An external table can be created with a row access policy, and the policy can be applied to the VALUE column.
D. A row access policy cannot be applied to a view created on top of an external table.
E. A row access policy cannot be directly added to a virtual column of an external table.
F. External tables are supported as mapping tables in a row access policy.

Answer: B,C,E

NEW QUESTION # 64
An Architect has chosen to separate their Snowflake Production and QA environments using two separate Snowflake accounts.
The QA account is intended to run and test changes on data and database objects before pushing those changes to the Production account. It is a requirement that all database objects and data in the QA account need to be an exact copy of the database objects, including privileges and data in the Production account on at least a nightly basis.
Which is the LEAST complex approach to use to populate the QA account with the Production account's data and database objects on a nightly basis?

A. 1) Create a stage in the Production account
2) Create a stage in the QA account that points to the same external object-storage location
3) Create a task that runs nightly to unload each table in the Production account into the stage
4) Use Snowpipe to populate the QA account
B. 1) Create a share in the Production account for each database
2) Share access to the QA account as a Consumer
3) The QA account creates a database directly from each share
4) Create clones of those databases on a nightly basis
5) Run tests directly on those cloned databases
C. 1) Enable replication for each database in the Production account
2) Create replica databases in the QA account
3) Create clones of the replica databases on a nightly basis
4) Run tests directly on those cloned databases
D. 1) In the Production account, create an external function that connects into the QA account and returns all the data for one specific table
2) Run the external function as part of a stored procedure that loops through each table in the Production account and populates each table in the QA account

Answer: C

Explanation:
This approach is the least complex because it uses Snowflake's built-in replication feature to copy the data and database objects from the Production account to the QA account. Replication is a fast and efficient way to synchronize data across accounts, regions, and cloud platforms. It also preserves the privileges and metadata of the replicated objects. By creating clones of the replica databases, the QA account can run tests on the cloned data without affecting the original data.
Clones are also zero-copy, meaning they do not consume any additional storage space unless the data is modified. This approach does not require any external stages, tasks, Snowpipe, or external functions, which can add complexity and overhead to the data transfer process.
Reference:
Introduction to Replication and Failover
Replicating Databases Across Multiple Accounts
Cloning Considerations

NEW QUESTION # 65
Who can view account-level Credit and Storage Usage?

A. ACCOUNTADMIN
B. STORAGEADMIN
C. STORAGEMONITOR
D. A role which has been granted the MONITOR USAGE global privilege

Answer: A,D

NEW QUESTION # 66
What actions are permitted when using the Snowflake SQL REST API? (Select TWO).

A. The use of a ROLLBACK command
B. Submitting multiple SQL statements in a single call
C. The use of a GET command
D. The use of a CALL command to a stored procedure which returns a table
E. The use of a PUT command

Answer: B,D

NEW QUESTION # 67
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 DATA_RETENTION_TIME_IN_DAYS for the staging schema has been set to 1 day.
C. The tables exceed the 1 TB limit for data recovery.
D. The staging tables are of the TRANSIENT type.
E. The staging schema has not been setup for MANAGED ACCESS.

Answer: B,D

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. Tofix 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.
Understanding & Using Time Travel : Transient Tables : Managed Access : Understanding Storage Cost : Table Privileges

NEW QUESTION # 68
......

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