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Snowflake Certified SnowPro Associate - Platform Certification Sample Questions (Q47-Q52):
NEW QUESTION # 47
What are virtual warehouses in Snowflake?
Answer: B
Explanation:
A virtual warehouse in Snowflake is acompute resourcethat supplies CPU, memory, and temporary storage used to process SQL queries, perform data loading, execute DML operations, and run procedural logic.
Warehouses are elastic, can be resized on demand, suspended to save costs, and automatically resumed when needed.
Virtual warehouses donotstore data-data is kept in Snowflake's centralized storage layer. They also are not user accounts; user accounts belong to Snowflake's identity management system. Worksheets are UI components in Snowsight or Classic Console used to write and run SQL, not compute resources.
Thus, virtual warehouses are Snowflake's compute engine, enabling all processing without managing physical infrastructure.
NEW QUESTION # 48
Within a Snowflake Notebook, you have a Python script that performs several data transformations using Pandas DataFrames and then attempts to load the transformed data into a new Snowflake table. The script fails intermittently with 'MemoryError'. Which of the following strategies could you employ to mitigate the 'MemoryError' when working with Snowflake Notebooks and Python? (Choose all that apply.)
Answer: B,C,E
Explanation:
Options B, C, and D are correct. A MemoryError indicates that the Python process within the Snowflake Notebook is running out of memory. Chunking (B) allows processing of data in smaller, manageable pieces. Optimizing Pandas DataFrame data types (C) reduces the memory footprint of each DataFrame. Using 'COPY INTO' (D) leverages Snowflake's internal data loading capabilities, avoiding the need to load the entire dataset into a Pandas DataFrame. Increasing the virtual warehouse size (A) primarily affects query performance within Snowflake, not the memory available to the Python process in the Notebook. Reducing the number of concurrent sessions might help if resource contention is the root cause, but is less directly related to the error, so E is not the strongest solution.
NEW QUESTION # 49
A data warehouse architect is designing a Snowflake environment for a large retail company. The company has diverse data workloads, including batch data ingestion, real-time analytics, and machine learning model training. The architect needs to choose the appropriate Snowflake edition and configure the virtual warehouse sizes to optimize cost and performance. Considering the diverse workloads, which combination of Snowflake edition and virtual warehouse strategy would be most appropriate?
Answer: E
Explanation:
Option B is the most appropriate. Enterprise Edition provides the features necessary for diverse workloads (such as materialized views and advanced security), and using separate virtual warehouses allows for workload isolation and optimized resource allocation. Resource monitors can control costs. Standard Edition (A and E) lacks the features required for advanced workloads.
Business Critical Edition (C) is overkill unless specific security or compliance requirements mandate it. VPS (D) is suitable for highly regulated industries but may be more expensive than necessary for a retail company. Using external services such as SageMaker (E) defeats the purpose of leveraging Snowflake for all workloads.
NEW QUESTION # 50
What is a "provider" in the context of the Snowflake Marketplace or Data Exchange?
Answer: D
Explanation:
In Snowflake Marketplace and Data Exchange, aprovideris any Snowflake user or organization that publishes and shares datasets, data products, or applications with other Snowflake consumers. Providers control access to their listings, configure data sharing models, and can offer either free or paid data products. They manage listing descriptions, update schedules, and refresh logic, ensuring customers or subscribers receive up-to-date and reliable information. Providers can be enterprises, analytics vendors, public data contributors, or research institutions. They are distinct from consumers, who access or use the shared data. Providers also do not handle Snowflake platform infrastructure-that is Snowflake's responsibility. Snowflake employees are not categorized as providers unless they publish official Snowflake datasets. Thus, the primary purpose of a provider is to share curated data offerings on the Marketplace or within private exchanges.
NEW QUESTION # 51
How is the initial activation of the Snowflake Data Exchange feature, which is necessary for establishing private exchanges, typically accomplished?
Answer: D
Explanation:
Snowflake Data Exchange is not enabled by default. Accounts must open a support request to Snowflake Support, which then activates the feature. It cannot be enabled via UI or SQL. After activation, administrators may create private exchanges and listings.
NEW QUESTION # 52
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