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NEW QUESTION: 1
Which types of nodes are provided by Huawei OceanStor 9000? (Multiple Choice)
A. Large-capacity archive node
B. Data processing node
C. High-performance storage node
D. Data storage node
Answer: A,C
NEW QUESTION: 2
You have three Power BI Desktop projects named Reportl.pbix, Report2.pbix, and Report3.pbix that have the following characteristics:
* Report1.pbix contains a custom visualization.
* Report2.pbix implements row-level security.
* Report3.pbix connects to a Microsoft SQL Server database by using DirectQuery.
Which reports support Publish to Web, and which reports can be published to Power BI Report Server? To answer, drag the appropriate reports to the correct targets. Each report may be used once, more than once, or not at all. You may need to drag the split bar between panes or scroll to view content.
NOTE: Each correct selection is worth one point.
Answer:
Explanation:
Explanation
References:
https://docs.microsoft.com/en-us/power-bi/service-publish-to-web#custom-visuals
NEW QUESTION: 3
A company is building a stock trading application that requires sub-millisecond latency in processing trading requests. Amazon DynamoDB is used to store all the trading data that is used to process each request. After load testing the application, the development team found that due to data retrieval times, the latency requirement is not satisfied. Because of sudden high spikes in the number of requests, DynamoDB read capacity has to be significantly over-provisioned to avoid throttling.
What steps should be taken to meet latency requirements and reduce the cost of running the application?
A. Store trading data in Amazon S3 and use Transfer Acceleration.
B. Use DynamoDB Accelerator to cache trading data.
C. Add Global Secondary Indexes for trading data.
D. Add retries with exponential back-off for DynamoDB queries
Answer: B
Explanation:
Refer AWS documentation - DynamoDB Accelerator
Amazon DynamoDB Accelerator (DAX) is a fully managed, highly available, in-memory cache for DynamoDB that delivers up to a 10x performance improvement - from milliseconds to microseconds - even at millions of requests per second. DAX does all the heavy lifting required to add in-memory acceleration to your DynamoDB tables, without requiring developers to manage cache invalidation, data population, or cluster management. Now you can focus on building great applications for your customers without worrying about performance at scale.