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Snowflake ARA-C01 Exam Syllabus Topics:

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

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q49-Q54):

NEW QUESTION # 49
A company is storing large numbers of small JSON files (ranging from 1-4 bytes) that are received from IoT devices and sent to a cloud provider. In any given hour, 100,000 files are added to the cloud provider.
What is the MOST cost-effective way to bring this data into a Snowflake table?

A. An external table
B. A stream
C. A copy command at regular intervals
D. A pipe

Answer: D

Explanation:
Explanation
* A pipe is a Snowflake object that continuously loads data from files in a stage (internal or external) into a table. A pipe can be configured to use auto-ingest, which means that Snowflake automatically detects new or modified files in the stage and loads them into the table without any manual intervention1.
* A pipe is the most cost-effective way to bring large numbers of small JSON files into a Snowflake table, because it minimizes the number of COPY commands executed and the number of micro-partitions created. A pipe can use file aggregation, which means that it can combine multiple small files into a single larger file before loading them into the table. This reduces the load time and the storage cost of the data2.
* An external table is a Snowflake object that references data files stored in an external location, such as Amazon S3, Google Cloud Storage, or Microsoft Azure Blob Storage. An external table does not store the data in Snowflake, but only provides a view of the data for querying. An external table is not a cost-effective way to bring data into a Snowflake table, because it does not support file aggregation, and it requires additional network bandwidth and compute resources to query the external data3.
* A stream is a Snowflake object that records the history of changes (inserts, updates, and deletes) made to a table. A stream can be used to consume the changes from a table and apply them to another table or a task. A stream is not a way to bring data into a Snowflake table, but a way to process the data after it is loaded into a table4.
* A copy command is a Snowflake command that loads data from files in a stage into a table. A copy command can be executed manually or scheduled using a task. A copy command is not a cost-effective way to bring large numbers of small JSON files into a Snowflake table, because it does not support file aggregation, and it may create many micro-partitions that increase the storage cost of the data5.
References: : Pipes : Loading Data Using Snowpipe : External Tables : Streams : COPY INTO <table>

NEW QUESTION # 50
A healthcare company wants to share data with a medical institute. The institute is running a Standard edition of Snowflake; the healthcare company is running a Business Critical edition.
How can this data be shared?

A. The healthcare company will need to change the institute's Snowflake edition in the accounts panel.
B. Set the share_restriction parameter on the shared object to false.
C. Contact Snowflake and they will execute the share request for the healthcare company.
D. By default, sharing is supported from a Business Critical Snowflake edition to a Standard edition.

Answer: B

Explanation:
By default, Snowflake does not allow sharing data from a Business Critical edition to a non-Business Critical edition. This is because Business Critical edition provides enhanced security and data protection features that are not available in lower editions. However, this restriction can be overridden by setting the share_restriction parameter on the shared object (database, schema, or table) to false. This parameter allows the data provider to explicitly allow sharing data with lower edition accounts. Note that this parameter can only be set by the data provider, not the data consumer. Also, setting this parameter to false may reduce the level of security and data protection for the shared data.
References:
* Enable Data Share:Business Critical Account to Lower Edition
* Sharing Is Not Allowed From An Account on BUSINESS CRITICAL Edition to an Account On A Lower Edition
* SQL Execution Error: Sharing is Not Allowed from an Account on BUSINESS CRITICAL Edition to an Account on a Lower Edition
* Snowflake Editions | Snowflake Documentation

NEW QUESTION # 51
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) In the Production account, create an external function that connects into the QA account and returns all the data for one specific table2) 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
B. 1) Enable replication for each database in the Production account2) Create replica databases in the QA account3) Create clones of the replica databases on a nightly basis4) Run tests directly on those cloned databases
C. 1) Create a share in the Production account for each database2) Share access to the QA account as a Consumer3) The QA account creates a database directly from each share4) Create clones of those databases on a nightly basis5) Run tests directly on those cloned databases
D. 1) Create a stage in the Production account2) Create a stage in the QA account that points to the same external object-storage location3) Create a task that runs nightly to unload each table in the Production account into the stage4) Use Snowpipe to populate the QA account

Answer: B

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.
Introduction to Replication and Failover
Replicating Databases Across Multiple Accounts
Cloning Considerations

NEW QUESTION # 52
An Architect wants to build an automated ETL pipeline that reads data from an external stage using an external table, performs transformations on changed data, joins with dimension tables, and loads results into a target table.
What should the Architect use?

A. Materialized views
B. Streams and tasks
C. Dynamic tables
D. Snowpipe with auto-ingest

Answer: B

Explanation:
Streams and tasks provide Snowflake's native framework for building automated, incremental ETL pipelines.
A stream can track changes in the external table (or staging table), while tasks orchestrate the execution of transformation logic and loading into target tables (Answer A).
This approach supports complex transformations, joins with dimension tables, and controlled scheduling or event-driven execution. Materialized views cannot perform joins with arbitrary tables and are not suitable for complex ETL. Dynamic tables simplify transformations but are not designed to consume change data directly from external tables. Snowpipe focuses on ingestion only and does not support downstream transformations.
SnowPro Architect exams frequently test understanding of when to use streams and tasks versus newer abstractions like dynamic tables.
=========

NEW QUESTION # 53
An Architect entered the following commands in sequence:

USER1 cannot find the table.
Which of the following commands does the Architect need to run for USER1 to find the tables using the Principle of Least Privilege? (Choose two.)

A. GRANT ALL PRIVILEGES ON DATABASE SANDBOX TO ROLE INTERN;
B. GRANT ROLE PUBLIC TO ROLE INTERN;
C. GRANT OWNERSHIP ON DATABASE SANDBOX TO USER INTERN;
D. GRANT USAGE ON DATABASE SANDBOX TO ROLE INTERN;
E. GRANT USAGE ON SCHEMA SANDBOX.PUBLIC TO ROLE INTERN;

Answer: D,E

Explanation:
* According to the Principle of Least Privilege, the Architect should grant the minimum privileges necessary for the USER1 to find the tables in the SANDBOX database.
* The USER1 needs to have USAGE privilege on the SANDBOX database and the SANDBOX.PUBLIC schema to be able to access the tables in the PUBLIC schema. Therefore, the commands B and C are the correct ones to run.
* The command A is not correct because the PUBLIC role is automatically granted to every user and role in the account, and it does not have any privileges on the SANDBOX database by default.
* The command D is not correct because it would transfer the ownership of the SANDBOX database from the Architect to the USER1, which is not necessary and violates the Principle of Least Privilege.
* The command E is not correct because it would grant all the possible privileges on the SANDBOX database to the USER1, which is also not necessary and violates the Principle of Least Privilege.
References: : Snowflake - Principle of Least Privilege : Snowflake - Access Control Privileges : Snowflake - Public Role : Snowflake - Ownership and Grants

NEW QUESTION # 54
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