Realistic Snowflake NAS-C01 Practice Tests Free PDF

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Snowflake NAS-C01 Exam Syllabus Topics:

Section	Weight	Objectives
Topic 1: Snowflake Native Applications Deployment	25%	- Build, version, and release native applications 1. Use data sharing for app interoperability 2. Use Snowflake's marketplace
Topic 2: Snowflake Native App Framework Overview	20%	- Understand Snowflake architecture, features, tools, and best practices 1. Cloud-based computing and storage concepts 2. Account security and access management 3. Data sharing and protection mechanisms
Topic 3: Snowflake Native Applications Design and Creation	35%	- Create and manage billing events and cost monitoring techniques 1. Formulate Snowflake native application workflows and procedures - Apply Snowflake best practices while building native application workloads 1. Build, distribute, and monetize apps in Snowflake 2. Design scalable applications
Topic 4: Snowflake Native Applications Installation and Testing	20%	- Install and test native applications 1. Validate application functionality and performance

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q210-Q215):

NEW QUESTION # 210
You are developing a Snowflake Native App that needs to be configurable by the consumer during installation. You define parameters in the 'manifest.ymr file. During application installation, the consumer provides values for these parameters. How can you access these parameter values within your application's setup script ('setup.sql')?

A. Use the ' SYSTEM$GET PARAMETER function within the 'setup.sqr script, passing the parameter name as an argument. This function retrieves the current value of the specified parameter for the application.
B. You must use the 'GET_DDL' function to retrieve the parameter values from the application object definition. The returned DDL string will contain the parameter values, which you need to parse.
C. Parameter values are automatically available as global variables within the 'setup.sqr script. You can reference them directly by their name as defined in the 'manifest.yml'.
D. Parameter values are stored in a dedicated table automatically created by Snowflake during application installation. You can query this table using standard SQL to retrieve the parameter values.
E. Parameter values are passed as arguments to the 'setup.sqr script. You need to define input parameters in the script declaration and then access them by their position or name.

Answer: A

Explanation:
The correct answer is D. The 'SYSTEM$GET_PARAMETER function is the designated way to access the parameter values specified by the consumer during installation from within the application's setup script. This function allows you to dynamically configure the application based on the consumer's input.

NEW QUESTION # 211
You are packaging a Snowflake Native App that includes a Streamlit application for data visualization. The Streamlit application needs to access a table named 'SALES DATA within the app's data container. Which of the following steps are REQUIRED to correctly grant the Streamlit application the necessary permissions to read the data? (Select all that apply)

A. Create a secure view on the ' SALES_DATX table, using the function in the view definition, and grant the 'SELECT privilege on the secure view to the application role.
B. Grant the 'APPLOG' privilege to the application role defined in the setup script on the internal stage.
C. Create a service account within the Snowflake Native App and grant the 'SELECT' privilege on the 'SALES_DATR table to the service account.
D. Grant the 'SELECT privilege on the 'SALES_DATX table directly to the application role defined in the setup script.
E. Grant the 'IMPORTED PRIVILEGES' on the database containing the 'SALES DATA' table to the application role.

Answer: A,C

Explanation:
Snowflake Native Apps require service accounts for components like Streamlit to interact with data securely. Granting SELECT directly to the app role (D) is generally not how applications are structured with secure views. APPLOG (B) is related to logging, not data access. IMPORTED PRIVILEGES (E) is useful when referencing objects from external data sources which is not the case here, the table resides within the applications data container. Using a secure view (C) allows for controlled access and data masking if needed and service account will be used to access it.

NEW QUESTION # 212
You are tasked with publishing a Snowflake Native Application to the Snowflake Marketplace. Your application relies on specific external packages available through Anacond a. You've already built your application and are preparing to create the listing. Which steps are NECESSARY to ensure that consumer accounts can successfully install and use your application, considering external package dependencies?

A. Consumers are automatically prompted to install any missing external packages upon installing the application; no specific action is required during listing creation.
B. Distribute the packages directly as part of the application code. This avoids external dependencies.
C. When creating the Snowflake Marketplace listing, specify the required external packages under the 'External Packages' section using the fully qualified package name (e.g., 'snowflake.ml.modeling').
D. Explicitly import all required external packages within the application's setup script using 'import
E. Include a 'requirements.txt file within your application package listing all required Python packages and their versions.

Answer: C

Explanation:
Option C is correct. The Snowflake Marketplace listing requires you to explicitly declare the external packages your application depends on in the 'External Packages' section. This allows Snowflake to automatically handle the package installation in the consumer's account. Options A and B are relevant during application development, not listing creation. Option D is not scalable for commonly used packages. Option E is incorrect because consumer intervention may be necessary but Snowflake must be aware of dependencies to guide them.

NEW QUESTION # 213
You are developing a Snowflake Native Application and want to implement robust observability and telemetry. Which of the following approaches will enable you to effectively monitor the application's performance, identify errors, and collect usage metrics within the consumer's account?

A. Rely solely on Snowflake's built-in query history and resource monitoring features in the consumer's account, as these automatically capture all application activity.
B. Directly access the consumer's system tables (e.g., 'SNOWFLAKE.ACCOUNT USAGE.QUERY HISTORY) to extract application-related metrics based on query identifiers generated by the application.
C. Utilize to write log data to a secure table within the application and leverage views granted to the consumer to expose relevant metrics and error information. Ensure appropriate roles have access to the views.
D. The consumer is responsible for implementing observability and telemetry. The application developer cannot implement observability features that function within the consumer's account.
E. Implement custom logging using 'SYSTEM$LOG' and store application logs in a separate table within the application's container. Configure grants to allow the application developer to access these logs.

Answer: C

Explanation:
Option C is the most effective approach. Using 'SYSTEM$LOG' allows for structured logging within the application. Storing the logs in a secure table within the application container keeps the data isolated and controlled. Creating views and granting access to specific roles on the consumer side allows the application to expose relevant metrics and error information without granting direct access to the underlying log data. Options A, D, and E are incorrect because they do not provide a comprehensive and controlled observability solution managed by the application developer. Option B is incorrect because the application developer cannot directly access data created in the consumer's account after installation.

NEW QUESTION # 214
As a Native App Provider, you've identified a performance bottleneck in a query against a table within your application's container due to an inefficient join. The query is part of a view exposed to consumers. Which of the following actions would be MOST effective in improving the query performance while minimizing disruption to consumers?

A. Implement a scheduled task to regularly update the statistics of the table involved in the join. This will help the query optimizer make better decisions, and consumers will see improved performance gradually.
B. Rewrite the query in the view definition to use a more efficient join algorithm (e.g., using hints). Consumers will automatically benefit from the improved performance.
C. Add a 'CLUSTER BY clause to the underlying table based on the join keys. Consumers will automatically benefit from improved query performance without any changes on their end.
D. Create a materialized view in place of the existing view, pre-computing the join results. This will require consumers to update their queries to use the new materialized view name.
E. Create a search optimization policy on columns used in the 'WHERE' clause in the view. This does not require any changes from the consumers.

Answer: A,B,C,E

Explanation:
Options A, C, D and E are correct. Clustering the table improves data locality and join performance, the rewritten query can improve performance, updating statistics helps the query optimizer, and search optimization can speed up filtering. Option B is incorrect because creating a materialized view requires consumers to change their queries, which is disruptive. Consumers should not have to change the queries they execute.

NEW QUESTION # 215
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