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| Section | Weight | Objectives |
|---|---|---|
| Application Deployment & Distribution | 25% | - Publishing to Snowflake Marketplace - Versioning and release management - Listing types and monetization - Upgrades and lifecycle management |
| Application Installation & Testing | 20% | - Installation procedures and dependencies - Testing strategies and validation - Provider and consumer workflows - Debugging and troubleshooting |
| Application Design & Creation | 35% | - Manifest files and configuration - Native App Framework architecture - Application packages and objects - Setup scripts and application logic - Security and access control |
| Advanced Features & Management | 20% | - Governance and compliance - Event logging and telemetry - Billing events and cost monitoring - Integration with Snowpark and external services |
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NEW QUESTION # 194
You are developing a Snowflake Native Application that includes a Python module for data transformation. This module relies on the pandas' and 'requests' libraries. You are using an 'environment.yml' file to manage dependencies. Which of the following 'environment.yml' configurations is the MOST secure and correct way to define these dependencies for your application? Assume you want to install these packages directly from conda-forge channel.
Answer: D
Explanation:
Option E is the MOST secure and correct. Here's why: Specifying Versions: Explicitly pinning the versions of 'pandas' and requests' (e.g., 'pandas=l .3.5' , ensures consistent behavior across different environments and prevents unexpected issues caused by updates to these libraries. This greatly enhances the reproducibility and stability of your application. Using conda-forge Channel: Specifying 'conda-forge' as the channel is generally recommended for Snowflake Native Apps as it provides a broader selection of packages and often includes versions compatible with the Snowflake environment. It also tends to have more up-to-date packages. Avoiding 'pip': While 'pip' can be used, it's generally better to use 'conda' for managing dependencies in a 'environment.ymr file as it can handle non-Python dependencies as well and integrates better with Conda environments. Option A is less desirable because it relies on 'pip' without a specified channel, which can lead to inconsistencies and potential security vulnerabilities. Option B is better than A because it uses conda-forge but lacks version pinning. Option C uses 'defaults' channel which is less preferable to conda-forge and lacks version pinning. Option D unnecessarily mixes pip with the Conda package manager.
NEW QUESTION # 195
You are developing a Snowflake Native Application that uses a custom Python handler to perform data transformations. This handler requires access to a third-party Python package not included in the standard Anaconda environment provided by Snowflake. To ensure the application functions correctly on consumer accounts, what steps must you take? (Select all that apply)
Answer: A,C
Explanation:
Snowflake Native Applications cannot rely on consumers manually installing dependencies or executing arbitrary shell commands for security reasons. Including the Python package as a zip file via the 'imports' clause within the 'CREATE or REPLACE FUNCTION' command ensures that the dependency is automatically available when the Python handler is executed within the application environment on the consumer's account. Option C is not a valid command and not permissible in Snowflake. Also, consumers cannot use alter after the installation, Hence it will not work. A and D are the correct choices.
NEW QUESTION # 196
You are developing a Native App on Snowflake that collects usage data from consumer accounts. You need to store this data securely and efficiently, and you anticipate that the volume of data will grow rapidly. Which of the following strategies would you consider to OPTIMIZE storage and query performance for this usage data within the application?
Answer: A,D
Explanation:
Implementing a data retention policy reduces storage costs and improves query performance by removing unnecessary data. Using clustering keys optimizes query performance by physically organizing the data based on frequently queried columns. Storing all data in a single table (A) may lead to performance issues as the table grows. Partitioning (B) doesn't exist in Snowflake. Creating separate tables per account (C) can become unmanageable at scale.
NEW QUESTION # 197
You are developing a Snowflake Native App that utilizes Streamlit for its user interface. You want to control the app's behavior based on whether it's running in a development environment within your provider account or in a consumer account after installation. Which of the following methods can you use within your 'streamlit.py' to determine the current execution context (Provider vs. Consumer) reliably?
Answer: A
Explanation:
Using session context function such as and comparison with the provider account identifier is the most reliable way to determine if the app is running in the provider account. does not exist, and querying INFORMATION_SCHEMA.APPLICATIONS is designed for a different purpose.
NEW QUESTION # 198
A software vendor is developing a Snowflake Native App that provides data enrichment services. As part of the application lifecycle, they need to automate the process of packaging, deploying, and upgrading their application across multiple Snowflake regions. Which of the following approaches provide the MOST efficient and reliable way to automate the deployment and upgrade process for this Native App? Select TWO options.
Answer: B,C
Explanation:
Using Snowflake's CLI (SnowSQL) with scripting allows for automating tasks like creating application packages and deployments. Integrating with CI/CD pipelines automates the entire deployment process, from building the application package to deploying it to multiple regions. Manual package creation is inefficient (A). Directly manipulating Snowflake's metadata tables is not recommended and unsupported (D). While Snowflake's Native Apps API (C) would be ideal, at the time of this writing, a fully featured API may not be available, so CLI scripting is currently the better option. CI/CD integration is also a valid response for this.
NEW QUESTION # 199
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