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NEW QUESTION: 1
You manage a Microsoft Azure SQL Data Warehouse Gen 2.
Users report slow performance when they run commonly used queries. Users do not report performance changes for infrequently used queries You need to monitor resource utilization to determine the source of the performance issues. Which metric should you monitor?
A. WU percentage
B. Cache used percentage
C. CPU percentage
D. Local tempdb percentage
Answer: B
Explanation:
Explanation
The Gen2 storage architecture automatically tiers your most frequently queried columnstore segments in a cache residing on NVMe based SSDs designed for Gen2 data warehouses. Greater performance is realized when your queries retrieve segments that are residing in the cache. You can monitor and troubleshoot slow query performance by determining whether your workload is optimally leveraging the Gen2 cache.
Reference:
https://docs.microsoft.com/en-us/azure/sql-data-warehouse/sql-data-warehouse-how-to-monitor-cache

NEW QUESTION: 2
A CRL is comprised oF.
A. Trusted CA's.
B. Public keys.
C. Malicious IP addresses.
D. Untrusted private keys.
Answer: B

NEW QUESTION: 3
Which of the following should an IS auditor recommend for the protection of specific sensitive information stored in the data warehouse?
A. Enhance user authentication via strong passwords
B. implement column- and row-level permissions
C. Log user access to the data warehouse
D. Organize the data warehouse into subject matter-specific databases
Answer: B
Explanation:
Choice A specifically addresses the question of sensitive data by controlling what information users can access. Column-level security prevents users from seeing one or more attributes on a table. With row-level security a certain grouping of information on a table is restricted; e.g., if a table held details of employee salaries, then a restriction could be put in place to ensure that, unless specifically authorized, users could not view the salaries of executive staff. Column- and row-level security can be achieved in a relational database by allowing users to access logical representations of data rather than physical tables. This 'fine-grained' security model is likely to offer the best balance between information protection while still supporting a wide range of analytical and reporting uses. Enhancing user authentication via strong passwords is a security control that should apply to all users of the data warehouse and does not specifically address protection of sensitive datA . Organizing a data warehouse into subject-specific databases is a potentially useful practice but, in itself, does not adequately protect sensitive datA . Database-level security is normally too 'coarse' a level to efficiently and effectively protect information. For example, one database may hold information that needs to be restricted such as employee salary and customer profitability details while other information such as employee department may need to be legitimately a