[Sep-2026] Valid Way To Pass Snowflake Exam Dumps with ARA-C01 Exam Study Guide [Q116-Q134]

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[Sep-2026] Valid Way To Pass Snowflake Exam Dumps with ARA-C01 Exam Study Guide

All ARA-C01 Dumps and SnowPro Advanced Architect Certification Training Courses Help candidates to study and pass the Exams hassle-free!

Snowflake ARA-C01 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Sharing and Collaboration	– Secure data sharing 1. Data marketplace concepts 2. Cross-account data sharing
Topic 2: Performance and Optimization	– Query performance tuning 1. Warehouse sizing and scaling 2. Query profiling and optimization techniques – Cost optimization 1. Storage and compute efficiency 2. Resource monitoring and cost control
Topic 3: Security, Governance, and Compliance	– Access control and security model 1. Network security and authentication 2. Role-based access control (RBAC) – Data governance 1. Data classification and masking policies 2. Audit and compliance features
Topic 4: 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
Topic 5: 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

NEW QUESTION 116
An Architect is using SnowCD to investigate a connectivity issue.
Which system function will provide a list of endpoints that the network must be able to access to use a specific Snowflake account, leveraging private connectivity?

SYSTEMSALLOWLIST ()

SYSTEMSGET_PRIVATELINK

SYSTEMSAUTHORIZE_PRIVATELINK

SYSTEMSALLOWLIST_PRIVATELINK ()

NEW QUESTION 117
An Architect needs to allow a user to create a database from an inbound share.
To meet this requirement, the user’s role must have which privileges? (Choose two.)

IMPORT SHARE;

IMPORT PRIVILEGES;

CREATE DATABASE;

CREATE SHARE;

IMPORT DATABASE;

NEW QUESTION 118
What is the MOST efficient way to design an environment where data retention is not considered critical, and customization needs are to be kept to a minimum?

Use a transient database.

Use a transient schema.

Use a transient table.

Use a temporary table.

NEW QUESTION 119
What transformations are supported in the below SQL statement? (Select THREE).
CREATE PIPE … AS COPY … FROM (…)

Data can be filtered by an optional where clause.

Columns can be reordered.

Columns can be omitted.

Type casts are supported.

Incoming data can be joined with other tables.

The ON ERROR – ABORT statement command can be used.

NEW QUESTION 120
What Snowflake features should be leveraged when modeling using Data Vault?

Snowflake’s support of multi-table inserts into the data model’s Data Vault tables

Data needs to be pre-partitioned to obtain a superior data access performance

Scaling up the virtual warehouses will support parallel processing of new source loads

Snowflake’s ability to hash keys so that hash key joins can run faster than integer joins

NEW QUESTION 121
Files arrive in an external stage every 10 seconds from a proprietary system. The files range in size from 500 K to 3 MB. The data must be accessible by dashboards as soon as it arrives.
How can a Snowflake Architect meet this requirement with the LEAST amount of coding? (Choose two.)

Use Snowpipe with auto-ingest.

Use a COPY command with a task.

Use a materialized view on an external table.

Use the COPY INTO command.

Use a combination of a task and a stream.

NEW QUESTION 122
The Business Intelligence team reports that when some team members run queries for their dashboards in parallel with others, the query response time is getting significantly slower What can a Snowflake Architect do to identify what is occurring and troubleshoot this issue?

NEW QUESTION 123
For this object, Snowflake executes code outside Snowflake; the executed code is known as remote service.
What is this object called?

External procedure

External function

External Script

External job

NEW QUESTION 124
A new user user_01 is created within Snowflake. The following two commands are executed:
Command 1-> show grants to user user_01;
Command 2 ~> show grants on user user 01;
What inferences can be made about these commands?

Command 1 defines which user owns user_01
Command 2 defines all the grants which have been given to user_01

Command 1 defines all the grants which are given to user_01 Command 2 defines which user owns user_01

Command 1 defines which role owns user_01
Command 2 defines all the grants which have been given to user_01

Command 1 defines all the grants which are given to user_01
Command 2 defines which role owns user 01

NEW QUESTION 125
A large manufacturing company runs a dozen individual Snowflake accounts across its business divisions. The company wants to increase the level of data sharing to support supply chain optimizations and increase its purchasing leverage with multiple vendors.
The company’s Snowflake Architects need to design a solution that would allow the business divisions to decide what to share, while minimizing the level of effort spent on configuration and management. Most of the company divisions use Snowflake accounts in the same cloud deployments with a few exceptions for European-based divisions.
According to Snowflake recommended best practice, how should these requirements be met?

Migrate the European accounts in the global region and manage shares in a connected graph architecture. Deploy a Data Exchange.

Deploy a Private Data Exchange in combination with data shares for the European accounts.

Deploy to the Snowflake Marketplace making sure that invoker_share() is used in all secure views.

Deploy a Private Data Exchange and use replication to allow European data shares in the Exchange.

Explanation
According to Snowflake recommended best practice, the requirements of the large manufacturing company should be met by deploying a Private Data Exchange in combination with data shares for the European accounts. A Private Data Exchange is a feature of the Snowflake Data Cloud platform that enables secure and governed sharing of data between organizations. It allows Snowflake customers to create their own data hub and invite other parts of their organization or external partners to access and contribute data sets. A Private Data Exchange provides centralized management, granular access control, and data usage metrics for the data shared in the exchange1. A data share is a secure and direct way of sharing data between Snowflake accounts without having to copy or move the data. A data share allows the data provider to grant privileges on selected objects in their account to one or more data consumers in other accounts2. By using a Private Data Exchange in combination with data shares, the company can achieve the following benefits:
* The business divisions can decide what data to share and publish it to the Private Data Exchange, where it can be discovered and accessed by other members of the exchange. This reduces the effort and complexity of managing multiple data sharing relationships and configurations.
* The company can leverage the existing Snowflake accounts in the same cloud deployments to create the Private Data Exchange and invite the members to join. This minimizes the migration and setup costs and leverages the existing Snowflake features and security.
* The company can use data shares to share data with the European accounts that are in different regions or cloud platforms. This allows the company to comply with the regional and regulatory requirements for data sovereignty and privacy, while still enabling data collaboration across the organization.
* The company can use the Snowflake Data Cloud platform to perform data analysis and transformation on the shared data, as well as integrate with other data sources and applications. This enables the company to optimize its supply chain and increase its purchasing leverage with multiple vendors.
The other options are incorrect because they do not meet the requirements or follow the best practices. Option A is incorrect because migrating the European accounts to the global region may violate the data sovereignty and privacy regulations, and deploying a Data Exchange may not provide the level of control and management that the company needs. Option C is incorrect because deploying to the Snowflake Marketplace may expose the company’s data to unwanted consumers, and using invoker_share() in secure views may not provide the desired level of security and governance. Option D is incorrect because using replication to allow European data shares in the Exchange may incur additional costs and complexity, and may not be necessary if data shares can be used instead. References: Private Data Exchange | Snowflake Documentation, Introduction to Secure Data Sharing | Snowflake Documentation

NEW QUESTION 126
An Architect has designed a data pipeline that Is receiving small CSV files from multiple sources. All of the files are landing in one location. Specific files are filtered for loading into Snowflake tables using the copy command. The loading performance is poor.
What changes can be made to Improve the data loading performance?

Create a multi-cluster warehouse and merge smaller files to create bigger files.

Change the file format from CSV to JSON.

Create a specific storage landing bucket to avoid file scanning.

Increase the size of the virtual warehouse.

NEW QUESTION 127
To convert JSON null value to SQL null value, you will use

STRIP_NULL_VALUE

IS_NULL_VALUE

NULL_IF

NEW QUESTION 128
Which system functions does Snowflake provide to monitor clustering information within a table (Choose two.)

SYSTEM$CLUSTERING_INFORMATION

SYSTEM$CLUSTERING_USAGE

SYSTEM$CLUSTERING_DEPTH

SYSTEM$CLUSTERING_KEYS

SYSTEM$CLUSTERING_PERCENT

NEW QUESTION 129
You have a medium warehouse with auto suspend of 5 minutes. You ran a query on table#1. After 10 minutes, you ran a query that joins table#1 and table#2, but you see that the query did not use data
cache.
Why?

When a warehouse is suspended, it may lose its data cache

The query that ran the second time is completely different from query that ran on table#1, hence it will not be able to use data cache

Joins cannot use any type of cache

NEW QUESTION 130
Is it possible for a data provider account with a Snowflake Business Critical edition to share data with an Enterprise edition data consumer account?

A Business Critical account cannot be a data sharing provider to an Enterprise consumer. Any consumer accounts must also be Business Critical.

If a user in the provider account with role authority to create or alter share adds an Enterprise account as a consumer, it can import the share.

If a user in the provider account with a share owning role sets share_restrictions to False when adding an Enterprise consumer account, it can import the share.

If a user in the provider account with a share owning role which also has override share restrictions privilege share_restrictions set to False when adding an Enterprise consumer account, it can import the share.

When a SnowflakeBusiness Critical (BC)edition account shares data, it must followdata sharing restrictionsdesigned to maintain thehigher level of compliance and securityguaranteed by BC.
Bydefault, BC accounts canonly share data with other BC (or higher)accounts, to maintain consistent security and compliance (e.g., HIPAA, HITRUST, FedRAMP).
However,an exceptioncan be madeif a user with the proper privilegeexplicitly disables the restriction.
Key Concept: share_restrictions
* Snowflake enforcesdata sharing restrictionsby default forBC accounts.
* Arole with the OVERRIDE SHARE RESTRICTIONS global privilegecan bypass this by setting theshare_restrictions = FALSEwhen adding the target account.
Correct Option: D
This is correct because:
* The usermust have a role with the OVERRIDE SHARE RESTRICTIONS privilege.
* That user can thenset share_restrictions = FALSEwhen adding the Enterprise edition consumer account.
Official Documentation Extract:
“If the data provider is a Business Critical (or higher) account, Snowflake enforces a restriction by default that only allows sharing data with other Business Critical (or higher) accounts. A user in the provider account with a role that has the global privilege OVERRIDE SHARE RESTRICTIONS can override this restriction by explicitly setting SHARE_RESTRICTIONS = FALSE when adding the consumer account.” Source:Snowflake Docs – CREATE SHARE Why Other Options Are Incorrect:
A:Incorrect – This is not absolute. Business Critical accountscanshare data with Enterprise accounts,if the restriction is explicitly overridden.
B:Incorrect – Simply having authority to create or alter a share isnot enough. You must have the OVERRIDE SHARE RESTRICTIONS privilege and set the restriction explicitly.
C:Incorrect – Setting share_restrictions = FALSE is required, but theprivilege to overridemust also be held by the role. Without the privilege, the action will fail.
References:
CREATE SHARE – SHARE_RESTRICTIONS Parameter
Snowflake Editions Comparison
Managing Shares and Data Sharing Restrictions

NEW QUESTION 131
Why might a Snowflake Architect use a star schema model rather than a 3NF model when designing a data architecture to run in Snowflake? (Select TWO).

Snowflake cannot handle the joins implied in a 3NF data model.

The Architect wants to remove data duplication from the data stored in Snowflake.

The Architect is designing a landing zone to receive raw data into Snowflake.

The Bl tool needs a data model that allows users to summarize facts across different dimensions, or to drill down from the summaries.

The Architect wants to present a simple flattened single view of the data to a particular group of end users.

A star schema model is a type of dimensional data model that consists of a single fact table and multiple dimension tables. A 3NF model is a type of relational data model that follows the third normal form, which eliminates data redundancy and ensures referential integrity. A Snowflake Architect might use a star schema model rather than a 3NF model when designing a data architecture to run in Snowflake for the following reasons:
A star schema model is more suitable for analytical queries that require aggregating and slicing data across different dimensions, such as those performed by a BI tool. A 3NF model is more suitable for transactional queries that require inserting, updating, and deleting individual records.
A star schema model is simpler and faster to query than a 3NF model, as it involves fewer joins and less complex SQL statements. A 3NF model is more complex and slower to query, as it involves more joins and more complex SQL statements.
A star schema model can provide a simple flattened single view of the data to a particular group of end users, such as business analysts or data scientists, who need to explore and visualize the data. A 3NF model can provide a more detailed and normalized view of the data to a different group of end users, such as application developers or data engineers, who need to maintain and update the data.
The other options are not valid reasons for choosing a star schema model over a 3NF model in Snowflake:
Snowflake can handle the joins implied in a 3NF data model, as it supports ANSI SQL and has a powerful query engine that can optimize and execute complex queries efficiently.
The Architect can use both star schema and 3NF models to remove data duplication from the data stored in Snowflake, as both models can enforce data integrity and avoid data anomalies. However, the trade-off is that a star schema model may have more data redundancy than a 3NF model, as it denormalizes the data for faster query performance, while a 3NF model may have less data redundancy than a star schema model, as it normalizes the data for easier data maintenance.
The Architect can use both star schema and 3NF models to design a landing zone to receive raw data into Snowflake, as both models can accommodate different types of data sources and formats. However, the choice of the model may depend on the purpose and scope of the landing zone, such as whether it is a temporary or permanent storage, whether it is a staging area or a data lake, and whether it is a single source or a multi-source integration.
Reference:
Snowflake Architect Training
Data Modeling: Understanding the Star and Snowflake Schemas
Data Vault vs Star Schema vs Third Normal Form: Which Data Model to Use?
Star Schema vs Snowflake Schema: 5 Key Differences
Dimensional Data Modeling – Snowflake schema
Star schema vs Snowflake Schema

NEW QUESTION 132
What is a characteristic of Role-Based Access Control (RBAC) as used in Snowflake?

Privileges can be granted at the database level and can be inherited by all underlying objects.

A user can use a “super-user” access along with securityadmin to bypass authorization checks and access all databases, schemas, and underlying objects.

A user can create managed access schemas to support future grants and ensure only schema owners can grant privileges to other roles.

A user can create managed access schemas to support current and future grants and ensure only object owners can grant privileges to other roles.

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.
References:
* 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

NEW QUESTION 133
What are purposes for creating a storage integration? (Choose three.)

Control access to Snowflake data using a master encryption key that is maintained in the cloud provider’s key management service.

Store a generated identity and access management (IAM) entity for an external cloud provider regardless of the cloud provider that hosts the Snowflake account.

Support multiple external stages using one single Snowflake object.

Avoid supplying credentials when creating a stage or when loading or unloading data.

Create private VPC endpoints that allow direct, secure connectivity between VPCs without traversing the public internet.

Manage credentials from multiple cloud providers in one single Snowflake object.

A storage integration is a Snowflake object that stores a generated identity and access management (IAM) entity for an external cloud provider, such as Amazon S3, Google Cloud Storage, or Microsoft Azure Blob Storage. This integration allows Snowflake to read data from and write data to an external storage location referenced in an external stage1.
One purpose of creating a storage integration is to support multiple external stages using one single Snowflake object. An integration can list buckets (and optional paths) that limit the locations users can specify when creating external stages that use the integration. Note that many external stage objects can reference different buckets and paths and use the same storage integration for authentication1. Therefore, option C is correct.
Another purpose of creating a storage integration is to avoid supplying credentials when creating a stage or when loading or unloading data. Integrations are named, first-class Snowflake objects that avoid the need for passing explicit cloud provider credentials such as secret keys or access tokens. Integration objects store an IAM user ID, and an administrator in your organization grants the IAM user permissions in the cloud provider account1. Therefore, option D is correct.
A third purpose of creating a storage integration is to store a generated IAM entity for an external cloud provider regardless of the cloud provider that hosts the Snowflake account. For example, you can create a storage integration for Amazon S3 even if your Snowflake account is hosted on Azure or Google Cloud Platform. This allows you to access data across different cloud platforms using Snowflake1. Therefore, option B is correct.
Option A is incorrect, because creating a storage integration does not control access to Snowflake data using a master encryption key. Snowflake encrypts all data using a hierarchical key model, and the master encryption key is managed by Snowflake or by the customer using a cloud provider’s key management service. This is independent of the storage integration feature2.
Option E is incorrect, because creating a storage integration does not create private VPC endpoints. Private VPC endpoints are a network configuration option that allow direct, secure connectivity between VPCs without traversing the public internet. This is also independent of the storage integration feature3.
Option F is incorrect, because creating a storage integration does not manage credentials from multiple cloud providers in one single Snowflake object. A storage integration is specific to one cloud provider, and you need to create separate integrations for each cloud provider you want to access4.

NEW QUESTION 134
An Architect has a VPN_ACCESS_LOGS table in the SECURITY_LOGS schema containing timestamps of the connection and disconnection, username of the user, and summary statistics.
What should the Architect do to enable the Snowflake search optimization service on this table?

Assume role with OWNERSHIP on future tables and ADD SEARCH OPTIMIZATION on the SECURITY_LOGS schema.

Assume role with ALL PRIVILEGES including ADD SEARCH OPTIMIZATION in the SECURITY LOGS schema.

Assume role with OWNERSHIP on VPN_ACCESS_LOGS and ADD SEARCH OPTIMIZATION in the SECURITY_LOGS schema.

Assume role with ALL PRIVILEGES on VPN_ACCESS_LOGS and ADD SEARCHOPTIMIZATION in the SECURITY_LOGS schema.