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Snowflake ARA-C01 Exam Syllabus Topics:

Section	Objectives
Data Sharing and Collaboration	- Secure data sharing 1. Cross-account data sharing 2. Data marketplace concepts
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
Security, Governance, and Compliance	- Access control and security model 1. Network security and authentication 2. Role-based access control (RBAC) - Data governance 1. Audit and compliance features 2. Data classification and masking policies
Data Architecture and Design	- Design scalable Snowflake architectures 1. Account and environment strategy 2. Multi-cluster virtual warehouse design - Data modeling and schema design 1. Semi-structured data modeling 2. Star and snowflake schema concepts
Data Pipelines and Data Engineering	- Data ingestion and transformation 1. Batch and streaming ingestion 2. Snowpipe and continuous data loading - Data orchestration 1. Tasks and Streams usage 2. Pipeline design patterns

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Snowflake SnowPro Advanced Architect Certification Sample Questions (Q193-Q198):

NEW QUESTION # 193
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 automatically see the new table and no additional grants are needed.
B. 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 ;
C. 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;
D. 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;

Answer: B

Explanation:
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

NEW QUESTION # 194
A company has an external vendor who puts data into Google Cloud Storage. The company's Snowflake account is set up in Azure.
What would be the MOST efficient way to load data from the vendor into Snowflake?

A. Create an external stage on Google Cloud Storage and use the external table to load the data into Snowflake.
B. Ask the vendor to create a Snowflake account, load the data into Snowflake and create a data share.
C. Create a Snowflake Account in the Google Cloud Platform (GCP), ingest data into this account and use data replication to move the data from GCP to Azure.
D. Copy the data from Google Cloud Storage to Azure Blob storage using external tools and load data from Blob storage to Snowflake.

Answer: A

Explanation:
The most efficient way to load data from the vendor into Snowflake is to create an external stage on Google Cloud Storage and use the external table to load the data into Snowflake (Option B). This way, you can avoid copying or moving the data across different cloud platforms, which can incur additional costs and latency.
You can also leverage the external table feature to query the data directly from Google Cloud Storage without loading it into Snowflake tables, which can save storage space and improve performance. Option A is not efficient because it requires the vendor to create a Snowflake account and a data share, which can be complicated and costly. Option C is not efficient because it involves copying the data from Google Cloud Storage to Azure Blob storage using external tools, which can be slow and expensive. Option D is not efficient because it requires creating a Snowflake account in the Google Cloud Platform (GCP), ingesting data into this account, and using data replication to move the data from GCP to Azure, which can be complex and time-consuming. References: The answer can be verified from Snowflake's official documentation on external stages and external tables available on their website. Here are some relevant links:
* Using External Stages | Snowflake Documentation
* Using External Tables | Snowflake Documentation
* Loading Data from a Stage | Snowflake Documentation

NEW QUESTION # 195
A Snowflake Architect is designing a multiple-account design strategy.
This strategy will be MOST cost-effective with which scenarios? (Select TWO).

A. The company needs to share data between two databases, where one must support Payment Card Industry Data Security Standard (PCI DSS) compliance but the other one does not.
B. The company security policy mandates the use of different Active Directory instances for the development, test, and production environments.
C. The company must use a specific network policy for certain users to allow and block given IP addresses.
D. The company wants to clone a production database that resides on AWS to a development database that resides on Azure.
E. The company needs to support different role-based access control features for the development, test, and production environments.

Answer: A,B

Explanation:
B: When dealing with PCI DSS compliance, having separate accounts can be beneficial because it enables strong isolation of environments that handle sensitive data from those that do not. By segregating the compliant from non-compliant resources, an organization can limit the scope of compliance, thus making it a cost-effective strategy.
D: Different Active Directory instances can be managed more effectively and securely when separated into different accounts. This approach allows for distinct identity and access management policies, which can enforce security requirements and minimize the risk of access policy errors between environments.

NEW QUESTION # 196
At which object type level can the APPLY MASKING POLICY, APPLY ROW ACCESS POLICY and APPLY SESSION POLICY privileges be granted?

A. Global
B. Database
C. Table
D. Schema

Answer: C

NEW QUESTION # 197
An Architect on a new project has been asked to design an architecture that meets Snowflake security, compliance, and governance requirements as follows:
1) Use Tri-Secret Secure in Snowflake
2) Share some information stored in a view with another Snowflake customer
3) Hide portions of sensitive information from some columns
4) Use zero-copy cloning to refresh the non-production environment from the production environment To meet these requirements, which design elements must be implemented? (Choose three.)

A. Use the Business-Critical edition of Snowflake.
B. Use the Enterprise edition of Snowflake.
C. Create a secure view.
D. Define row access policies.
E. Create a materialized view.
F. Use Dynamic Data Masking.

Answer: A,C,F

Explanation:
These three design elements are required to meet the security, compliance, and governance requirements for the project.
To use Tri-Secret Secure in Snowflake, the Business Critical edition of Snowflake is required. This edition provides enhanced data protection features, such as customer-managed encryption keys, that are not available in lower editions. Tri-Secret Secure is a feature that combines a Snowflake-maintained key and a customer-managed key to create a composite master key to encrypt the data in Snowflake1.
To share some information stored in a view with another Snowflake customer, a secure view is recommended. A secure view is a view that hides the underlying data and the view definition from unauthorized users. Only the owner of the view and the users who are granted the owner's role can see the view definition and the data in the base tables of the view2. A secure view can be shared with another Snowflake account using a data share3.
To hide portions of sensitive information from some columns, Dynamic Data Masking can be used. Dynamic Data Masking is a feature that allows applying masking policies to columns to selectively mask plain-text data at query time. Depending on the masking policy conditions and the user's role, the data can be fully or partially masked, or shown as plain-text4.

NEW QUESTION # 198
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