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NEW QUESTION # 233
You are working with a very large table 'TRANSACTIONS' and need to improve the performance of queries that filter data based on a specific range of transaction timestamps. Which of the following is the MOST appropriate Snowflake feature to optimize these queries, and why?
Answer: C
Explanation:
The Search Optimization Service (SOS) is specifically designed to accelerate point lookup and range queries on large tables. SOS automatically creates and manages search access paths based on common query patterns, making it significantly more efficient than a standard index, which Snowflake doesn't directly support. Sequences don't inherently improve query performance. Snowflake doesn't support manual repartitioning. Transient tables affect data recovery, not query performance.
NEW QUESTION # 234
A Snowflake administrator is tasked with setting up role-based access control (RBAC) to manage access to different objects within Snowflake using the web UI. Which of the following statements accurately describe best practices and functionalities available through the Snowflake web UI for managing RBAC?
Answer: A,E
Explanation:
The Snowflake web UI enables creating custom roles, granting various privileges (including object privileges like SELECT and INSERT), and assigning roles to users or other roles. The
'Account' section within the web UI indeed provides a user- friendly interface for managing users, roles, and their associated privileges. Role hierarchies can be managed through SQL but the UI also allows users to manage, by assigning users or roles to a given role. Therefore, 'C' is incorrect. 'A' is incorrect as roles can be managed by using the UI.
NEW QUESTION # 235
A data scientist wants to use the COMPLETE function in Snowflake Cortex to perform sentiment analysis on social media posts. They have a table named 'SOCIAL MEDIA POSTS with a column
'POST TEXT' containing the post content. They want to classify each post as either 'Positive',
'Negative', or 'Neutral'. Which of the following SQL statements is the MOST appropriate for this task?
Answer: B
Explanation:
Option E is the most appropriate. It explicitly instructs the COMPLETE function to classify the sentiment and provides the possible classifications (Positive', 'Negative', or 'Neutral'). Combining text with II and using smaller snowflake model to minimize compute cost.
NEW QUESTION # 236
A company is experiencing inconsistent query performance in their Snowflake environment.
Some queries execute quickly, while others, seemingly similar, take significantly longer. They suspect that the virtual warehouse sizing is not optimal. Which of the following strategies would be the MOST comprehensive approach to diagnosing and resolving this issue, assuming you have access to Snowflake's monitoring tools and SQL?
Answer: A,C
Explanation:
While monitoring CPU utilization (A) is helpful, it's not the most comprehensive. Query Acceleration service (B) may help to accelerate, but will not diagnose the underlying issue.
Resource Monitors (D) address credit usage but don't directly improve query performance. The most comprehensive approach is to analyze slow queries using query profiles (C) to understand bottlenecks. Then you must improve data locality by Clustering Tables(E). Also, the sizing of a warehouse needs monitoring over time to ensure its performing at it's best. The best choice is to first identify the root cause of performance issues (C, E) before taking action.
NEW QUESTION # 237
You have a Snowflake virtual warehouse named 'REPORTING that is consistently experiencing performance issues during peak hours. You suspect that resource contention is the primary cause. Which of the following actions, when performed together , would be the MOST effective in mitigating these performance issues and ensuring consistent query performance for reporting?
Answer: B
Explanation:
Option C is the most effective solution. Enabling a multi-cluster warehouse allows Snowflake to automatically scale out by adding more compute resources when the load increases. Setting the scaling policy to 'Standard' prioritizes performance over cost, ensuring that new clusters are started quickly when needed. Increasing the warehouse size to 'Large' provides more resources to each individual cluster. Option A only increases the warehouse size but doesn't address concurrency. Option B uses the 'Economy' scaling policy, which might delay the creation of new clusters, thus not solving the performance issue. Option D only addresses inactivity and identifies long-running queries but doesn't resolve the resource contention. Option E relies on manual intervention, which is not ideal for consistently addressing peak hour performance issues.
NEW QUESTION # 238
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