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The Snowflake NAS-C01 certification is one of the top-rated career advancement certifications in the market. This SnowPro Specialty - Native Apps (NAS-C01) certification exam has been inspiring candidates since its beginning. Over this long time period, thousands of NAS-C01 Exam candidates have passed their SnowPro Specialty - Native Apps (NAS-C01) certification exam and now they are doing jobs in the world's top brands. You can also be a part of this wonderful community.

Snowflake NAS-C01 Exam Syllabus Topics:

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

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Snowflake SnowPro Specialty - Native Apps Sample Questions (Q199-Q204):

NEW QUESTION # 199
You have a Snowflake Native Application that utilizes a managed table. After upgrading your application to version 2.0, some users report that they are missing data in the managed table. After investigation, you realize version 2.0 changed the schema of the managed table and also did not properly migrate all the data from old format into new format. Which of the following steps should be taken to address the missing data after upgrading a Snowflake Native Application?

A. Create a new version 2.1. Within version 2.1's setup script, dynamically detect if the application is an upgrade from 1.0 and, if so, execute the data migration script to transfer data from the old schema to the new schema.
B. Since managed tables are fully managed by Snowflake, contact Snowflake support to initiate a data recovery process in each affected consumer account.
C. Rollback all users to version 1.0 and then perform the schema migration directly on the consumer's account using custom SQL scripts.
D. Create a new version 2.1 that includes a data migration script to transfer data from the old schema (as it existed in version 1.0) to the new schema in version 2.0. Use release directives to upgrade affected users to version 2.1 after staging.
E. Manually insert the missing data into the managed table in each consumer's account, contacting affected users to coordinate the data entry.

Answer: A

Explanation:
Option D is the correct approach. By dynamically detecting the upgrade and running a data migration script, the application ensures data integrity during the upgrade process. The data migration script will convert data from old format to new format. Option A is almost correct, however we don't assume the user is at 1.0. The application may be updated from earlier versions as well. Option B is not feasible due to operational overhead of doing it for each consumers and requires high privilege on consumer side which is not allowed for native apps. Option C is not practical or scalable. Managed tables are managed by your application code within the package, so Snowflake support won't perform data manipulation (Option E).

NEW QUESTION # 200
A Native App developer is using Snowflake's Event Tables for tracing the execution of their application. They have noticed a significant performance overhead when event logging is enabled, particularly for high-volume UDFs. Which of the following strategies would be MOST effective in mitigating the performance impact of event logging while still capturing valuable tracing information?

A. Disable event logging entirely for high-volume UDFs to eliminate the performance overhead.
B. Reduce the number of columns captured in the event tables to minimize the amount of data being written. Store all tracing data in a single large event table to simplify querying.
C. Increase the frequency of event table flushes to reduce the number of events buffered in memory. This minimizes memory pressure and write latency.
D. Write event data directly to an external cloud storage system (e.g., AWS S3, Azure Blob Storage) bypassing Snowflake's Event Tables altogether.
E. Implement sampling or conditional logging within the UDFs, only logging events for a subset of executions or when specific conditions are met. Utilize asynchronous logging techniques where appropriate to offload logging operations.

Answer: E

Explanation:
Option C offers the best balance between performance and valuable tracing information. Sampling allows you to reduce the volume of events logged, while conditional logging ensures that only relevant events are captured. Asynchronous logging further minimizes the performance impact. Option A is not desirable as it eliminates tracing altogether. Option B will not reduce overhead. Option D is a good strategy but doesn't address high logging volumes. Option E may not be compliant or possible.

NEW QUESTION # 201
You are packaging a Snowflake Native App and need to ensure that consumer accounts can only access specific data views you've created within your application schem a. You want to prevent consumers from directly querying the underlying tables. Which of the following security measures, when implemented together, BEST achieve this objective? (Choose two)

A. Grant "OWNERSHIP' on the views to the 'application role' within the application package.
B. Use secure views to expose data, ensuring data access is controlled through the view's definition.
C. Grant 'SELECT privilege only on the views to the 'application role' within the application package.
D. Grant 'SELECT' privilege on the underlying tables to the 'application role' within the application package.
E. Do not grant any privileges on the underlying tables to the 'application role' within the application package.

Answer: B,C

Explanation:
The combination of granting ' SELECT only on the views (Option B) and using secure views (Option E) provides the strongest data security. Granting select on the views allows consumers to see the data you want them to see. Secure views prevent consumers from circumventing the view definition to access underlying tables, even if they had theoretical privileges (which they shouldn't). Not granting any privileges on tables(C) is correct in conjunction with (B&E), but on its own consumers will not see any data as they can't select from any object. Giving application role ownership to View(D) is not necessary to give consumer access to view the data.

NEW QUESTION # 202
You are packaging a Snowflake Native App that includes a file. During the packaging process, you encounter an error stating that a required Python package, 'pandas', is not found. However, you have included a 'requirements.txt' file in the application bundle with 'pandas' listed as a dependency. What is the MOST likely cause of this error, and what steps can you take to resolve it?

A. Snowflake does not automatically install packages from 'requirements.txt' during packaging. You must manually upload the pandas package to a Snowflake stage and import it within your 'streamlit.py' file.
B. The 'requirements.txt' file is not being correctly processed by the Snowflake Native App build system. Ensure the file is in the root directory of the application bundle and is properly formatted.
C. The 'requirements.txt' file needs to be converted to a 'setup.py' file for Snowflake to recognize the dependencies correctly.
D. Snowflake automatically installs all packages listed in 'requirements.txt' when the application is packaged, so the issue must lie elsewhere, such as a typo in the package name.

Answer: B

Explanation:
The most likely cause is that the 'requirements.txt' file is either not in the correct location (root directory of the application bundle) or is improperly formatted. Snowflake expects the file to be in the root and follows standard Python dependency declaration syntax. While Snowflake provides mechanisms for dependency management, properly placing and formatting the 'requirements.txt' is fundamental. Options stating that Snowflake automatically handles everything or requires manual uploads are incorrect or incomplete. Option E is not the most likely scenario, since it would require more configurations and more things to go wrong (hence less likely).

NEW QUESTION # 203
A Snowflake Native App developer wants to utilize a README.md file within their application package. Which of the following statements accurately describe the supported usage and purpose of the README.md file in this context?

A. The README.md file can be programmatically accessed within the application logic using a Snowflake-provided API to dynamically generate documentation for the consumer.
B. The README.md file is a Markdown formatted file and used only for internal documentation by the app developer and is not exposed to consumers through any Snowflake interface.
C. The README.md file must adhere to a specific Snowflake schema for metadata to be automatically extracted and displayed within the consumer's Snowflake environment post-installation.
D. Snowflake automatically renders the READMmd file as part of the application s user interface within the consumer s account, allowing them to view documentation directly from Snowflake.
E. The README.md file is automatically displayed to consumers within the Snowflake Marketplace listing, providing a detailed overview of the app's functionality and installation instructions.

Answer: E

Explanation:
The README.md file in a Snowflake Native App package is primarily used to populate the app's listing in the Snowflake Marketplace. It provides information about the app to potential consumers. It's not used for internal documentation only, nor is it rendered within the consumer's account post-installation. It doesn't require a specific Snowflake schema, nor is it programmatically accessible from the app.

NEW QUESTION # 204
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