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NEW QUESTION: 1
What performance techniques should you implement to improve the performance of SAP HANA information views?
There are 3 correct answers to this question.
Response:
A. Push down aggregations to SAP HANA.
B. Apply filters as late as possible.
C. Investigate partitioning of large tables.
D. Perform calculation before aggregation in your analytic views.
E. Minimize the transfer of data between the execution engines.
Answer: A,C,E
NEW QUESTION: 2
Your customer has special business process where their agents will put incidents into a waiting status for a period of one week on a regular status basis.
Your customer would like these incidents to remain in the waiting status until the agent has finished researching the incidents(s).
Your customer does not want these incidents to close until 7 calendar days have passed.
Which configuration setting needs to be modified form its default value in order to prevent the system from closing the waiting incident automatically?
A. PURGE_DELETE_INCIDENTS
B. CI_WAITING_CALC_DAYS
C. CI_HOURS
D. DORMANT_INCIDENTS
E. MYQ_REOPEN_DEADLINE
Answer: D
Explanation:
The DORMANT_INCIDENTS configuration setting specifies the number of days after which Solved incidents are flagged as dormant by the agedatabase utility. To disable this feature, set this value to 0. If you set the DORMANT_INCIDENTS setting to a value greater than that specified in the PURGE_DELETE_INCIDENTS setting, the incidents will get purged before they can ever be set to dormant. By default, this feature is set to 0 which means incidents are never flagged as dormant.
NEW QUESTION: 3
Which two metrics should you use to identify the appropriate RU/s for the telemetry data? Each correct answer presents part of the solution.
NOTE: Each correct selection is worth one point.
A. Number of requests
B. End to end observed read latency at the 99th percentile
C. Session consistency
D. Data + Index storage consumed
E. Avg Troughput/s
F. Number of requests exceeded capacity
Answer: A,D
Explanation:
Explanation
Scenario: The telemetry data must be monitored for performance issues. You must adjust the Cosmos DB Request Units per second (RU/s) to maintain a performance SLA while minimizing the cost of the Ru/s.
With Azure Cosmos DB, you pay for the throughput you provision and the storage you consume on an hourly basis.
While you estimate the number of RUs per second to provision, consider the following factors:
Item size: As the size of an item increases, the number of RUs consumed to read or write the item also increases.
Topic 4, ADatum Corporation
Case study
Overview
ADatum Corporation is a retailer that sells products through two sales channels: retail stores and a website.
Existing Environment
ADatum has one database server that has Microsoft SQL Server 2016 installed. The server hosts three mission-critical databases named SALESDB, DOCDB, and REPORTINGDB.
SALESDB collects data from the stored and the website.
DOCDB stored documents that connect to the sales data in SALESDB. The documents are stored in two different JSON formats based on the sales channel.
REPORTINGDB stores reporting data and contains server columnstore indexes. A daily process creates reporting data in REPORTINGDB from the data in SALESDB. The process is implemented as a SQL Server Integration Services (SSIS) package that runs a stored procedure from SALESDB.
Requirements
Planned Changes
ADatum plans to move the current data infrastructure to Azure. The new infrastructure has the following requirements:
* Migrate SALESDB and REPORTINGDB to an Azure SQL database.
* Migrate DOCDB to Azure Cosmos DB.
* The sales data including the documents in JSON format, must be gathered as it arrives and analyzed online by using Azure Stream Analytics. The analytic process will perform aggregations that must be done continuously, without gaps, and without overlapping.
* As they arrive, all the sales documents in JSON format must be transformed into one consistent format.
* Azure Data Factory will replace the SSIS process of copying the data from SALESDB to REPORTINGDB.
Technical Requirements
The new Azure data infrastructure must meet the following technical requirements:
* Data in SALESDB must encrypted by using Transparent Data Encryption (TDE). The encryption must use your own key.
* SALESDB must be restorable to any given minute within the past three weeks.
* Real-time processing must be monitored to ensure that workloads are sized properly based on actual usage patterns.
* Missing indexes must be created automatically for REPORTINGDB.
* Disk IO, CPU, and memory usage must be monitored for SALESDB.