Hello world! - مساقات جامعة النور

Bill Ford Bill Ford

0 دورة ملتحَق بها • 0 اكتملت الدورة

سيرة شخصية

Money Back Guarantee on Snowflake GES-C01 Exam Questions

The updated Snowflake GES-C01 exam questions are available in three different but high-in-demand formats. With the aid of practice questions for the Snowflake GES-C01 exam, you may now take the exam at home. You can understand the fundamental ideas behind the Snowflake GES-C01 Test Dumps using the goods. The Snowflake GES-C01 exam questions are affordable and updated, and you can use them without any guidance.

Our company really took a lot of thought in order to provide customers with better GES-C01 learning materials. First of all, in the setting of product content, we have hired the most professional team who analyzed a large amount of information and compiled the most reasonable GES-C01 Exam Questions. And you can find the most accurate on our GES-C01 study braindumps. Secondly, our services are 24/7 avaiable to help our customers solve all kinds of questions.

>> GES-C01 Latest Exam Question <<

GES-C01 Valid Test Tutorial | GES-C01 Valid Exam Answers

A variety of BraindumpsIT’ GES-C01 dumps are very helpful for the preparation to get assistance in this regard. It is designed exactly according to the exams curriculum. The use of GES-C01 test preparation exam questions helps them to practice thoroughly. Rely on material of the Free GES-C01 Braindumps online sample tests, and resource material available on our website .These free web sources are significant for GES-C01 certification syllabus. Our website provides the sufficient material regarding exam preparation.

Snowflake SnowPro® Specialty: Gen AI Certification Exam Sample Questions (Q175-Q180):

NEW QUESTION # 175
An enterprise is deploying a new RAG application using Snowflake Cortex Search on a large dataset of customer support tickets. The operations team is concerned about managing compute costs and ensuring efficient index refreshes for the Cortex Search Service, which needs to be updated hourly. Which of the following considerations and configurations are relevant for optimizing cost and performance of the Cortex Search Service in this scenario?

A. Option D
B. Option C
C. Option B
D. Option E
E. Option A

Answer: A,B,C,E

Explanation:
Option A is correct because a Cortex Search Service requires a virtual warehouse to refresh the service, which runs queries against base objects when they are initialized and refreshed, incurring compute costs. Option B is correct because the cost of embedding models varies. For example, 'snowflake-arctic-embed-m-v1.5 costs 0.03 credits per million tokens, while 'voyage-multilingual-2 costs 0.07 credits per million tokens. Choosing a more cost-effective model like 'snowflake-arctic-embed-m-v1.5 for English-only data can reduce token costs. Option C is correct because Snowflake recommends using a dedicated warehouse of size no larger than MEDIUM for each Cortex Search Service to achieve optimal performance. Option D is correct because change tracking is required for the Cortex Search Service to be able to detect and process updates to the base table, enabling incremental refreshes that are more efficient than full re-indexing. Option E is incorrect because Cortex Search Services incur costs based on virtual warehouse compute for refreshes, "EMBED_TEXT TOKENS' cost per input token, and a charge of 6.3 Credits per GB/mo of indexed data. The volume of indexed data has a significant impact, not minimal.

NEW QUESTION # 176
A data engineering team is optimizing an AI-infused pipeline that processes millions of rows of customer interaction data in a LOG_DATA table using various Snowflake Cortex AI functions. They need to accurately estimate costs and ensure optimal performance. Which of the following statements regarding cost, performance, and operational considerations for these functions are true?

A. Option E
B. Option D
C. Option C
D. Option B
E. Option A

Answer: A,C,E

Explanation:

NEW QUESTION # 177
A company is planning to process a large volume of legal documents to generate summaries using SNOWFLAKE. CORTEX. SUMMARIZE. Given the scale, they are acutely focused on managing costs and optimizing performance. Which of the following statements are true regarding the cost and performance characteristics of using SNOWFLAKE. CORTEX. SUMMARIZE? (Select all that apply)

A. The fixed billing rate for the SUMMARIZE function is 0.10 Credits per one million Tokens processed.
B. Snowflake recommends using a larger warehouse (e.g., L or XL) for SUMMARIZE function calls to significantly improve processing performance for high-volume tasks.
C. For SUWARIZE, Snowflake adds an internal prompt to the user's input text, which increases the total input token count for billing purposes beyond the raw text length.
D. The SUWARIZE function is billed primarily based on the number of output tokens generated in the response, not input tokens.
E. The context window for the SWIMARIZE function is 4,096 tokens, ensuring efficiency for short documents only.

Answer: A,C

Explanation:
Options B and D are correct. - is correct": For 'SUMMARIZE, Snowflake adds an internal prompt to the input text in order to generate the response, which results in a higher input token count for billing than the raw text provided. - is correct'': The cost for the Summarize' function is 0.10 Credits per one million Tokens processed. -A is incorrect: For functions that generate new text in the response, such as 'SUMMARIZE' , both input and output tokens are billable. - C is incorrect: Snowflake recommends executing queries that call a Snowflake Cortex AISQL function, including SUMMARIZE , with a smaller warehouse (no larger than MEDIUM), as larger warehouses do not increase performance for these operations. - E is incorrect: The context window for the Snowflake managed model from the 'SUMMARIZE function is 32,000 tokens, not 4,096 tokens.

NEW QUESTION # 178
A data application developer is building a Streamlit chat application within Snowflake. This application uses a RAG pattern to answer user questions about a knowledge base, leveraging a Cortex Search Service for retrieval and an LLM for generating responses. The developer wants to ensure responses are relevant, concise, and structured. Which of the following practices are crucial when integrating Cortex Search with Snowflake Cortex LLM functions like AI_COMPLETE for this RAG chatbot?

A. For performance and cost optimization, it is always recommended to query Cortex Search and the LLM function within a single
B. Using the
C. The retrieved context from Cortex Search should be directly concatenated with the user's prompt as input to the
D. To maintain conversational context in a multi-turn chat, the developer should pass all previous user prompts and model responses in the
E. The

Answer: B,D

Explanation:
Option A is incorrect. The user's query is typically embedded (e.g., using ' to perform a similarity search against the Cortex Search Service. The 'retrieved documents' (context) are then passed to the function, not the embedding function itself. Option B is correct because to provide a stateful, conversational experience, all previous user prompts and model responses should be passed in the array to the 'COMPLETE' or function. Option C is incorrect. While concatenation is a method, for better accuracy and control, the retrieved context should be integrated into a well-engineered prompt, often using tags or specific instructions, rather than just raw concatenation, to guide the LLM's response. Option D is correct because 'AI_COMPLETE Structured OutputS allows you to supply a JSON schema that completion responses must follow, reducing the need for post-processing and enabling seamless integration with systems requiring deterministic responses. Option E is incorrect. While keeping processing within Snowflake is good for data govemance, complex RAG pipelines often involve multiple distinct steps (query embedding, search, retrieval, LLM completion) that may benefit from a staged approach rather than a single monolithic SQL statement. The optimal approach depends on the specific complexity and performance requirements, and a single 'SELECT for the 'entire' RAG flow might not always be the most efficient or practical solution.

NEW QUESTION # 179
A data engineering team is implementing a solution using Snowflake Cortex's AI_COMPLETE function to process customer support tickets. They are concerned about sensitive information and ensuring the model's responses are safe, while adhering to Snowflake's data governance principles. Which of the following statements correctly describe the functionality of Cortex Guard and Snowflake's data privacy commitments in this context?

A. Option E
B. Option D
C. Option B
D. Option C
E. Option A

Answer: A,C

Explanation:
Option B is correct because Cortex Guard evaluates the LLM's responses, not just the prompts, to filter unsafe content. Additionally, only the input tokens for Cortex Guard are counted for billing, and this cost is in addition to the function's cost. Option E is correct because Snowflake's trust and safety principles explicitly state that your Usage and Customer Data (including inputs and outputs of Snowflake AI Features) are NOT available to other customers and are NOT used to train, re-train, or fine-tune Models made available to others. Option A is incorrect as customer data is not anonymised and used to improve general model performance for others. Option C is incorrect as the sources do not mention fine-tuning a customer-owned guardrail model. Option D is incorrect as the sources do not mention a 'CORTEX GUARD ADMIN' role or logging of filtered content to a customer-accessible audit table.

NEW QUESTION # 180
......

If you fail GES-C01 exam with our GES-C01 exam dumps, we will full refund the cost that you purchased our GES-C01 exam dumps. However, our promise of "No help, full refund" doesn't shows our no confidence to our products; oppositely, it expresses our most sincere and responsible attitude to reassure our customers. With our professional GES-C01 Exam software, you will be at ease about your GES-C01 exam, and you will be satisfied with our after-sale service after you have purchased our GES-C01 exam software.

GES-C01 Valid Test Tutorial: https://www.braindumpsit.com/GES-C01_real-exam.html

With regards to the questions of IT certification test, BraindumpsIT GES-C01 Valid Test Tutorial has a wealth of experience, According to the different demands of many customers, they have designed the three different versions of the GES-C01 study materials for all customers, In addition, there is one year time for the access of the updated GES-C01 practice dumps after purcahse, BraindumpsIT SnowPro® Specialty: Gen AI Certification Exam (GES-C01) PDF exam questions file is portable and accessible on laptops, tablets, and smartphones.

When you finish reading a knowledge area in Snowflake, You may want to assess GES-C01 Reliable Test Objectives yourself, Assumes you have experience consuming and transforming data, modeling and visualizing data, and configuring dashboards using Excel and Power BI.

BraindumpsIT GES-C01 Exam Dumps and Practice Test Software

With regards to the questions of IT certification GES-C01 test, BraindumpsIT has a wealth of experience, According to the different demands of many customers, they have designed the three different versions of the GES-C01 study materials for all customers.

In addition, there is one year time for the access of the updated GES-C01 practice dumps after purcahse, BraindumpsIT SnowPro® Specialty: Gen AI Certification Exam (GES-C01) PDF exam questions file is portable and accessible on laptops, tablets, and smartphones.

Real exam questions and answers � verified by Snowflake experts.