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NEW QUESTION: 1
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
You have the following requirements:
Implement table partitioning to improve the manageability of the data warehouse and to avoid the need
to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
Partition the Fact.Order table and retain a total of seven years of data.
Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition
structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date
tables.
Incrementally load all tables in the database and ensure that all incremental changes are processed.
Maximize the performance during the data loading process for the Fact.Order partition.
Ensure that historical data remains online and available for querying.
Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
You need to implement the data partitioning strategy.
How should you partition the Fact.Order table?
A. Use a granularity of two days.
B. Create 17,520 partitions.
C. Create 2,557 partitions.
D. Create 730 partitions.
Answer: C
Explanation:
Explanation/Reference:
Explanation:
We create on partition for each day. 7 years times 365 days is 2,555. Make that 2,557 to provide for leap years.
From scenario: Partition the Fact.Order table and retain a total of seven years of data.
Maximize the performance during the data loading process for the Fact.Order partition.
NEW QUESTION: 2
A. Option B
B. Option A
C. Option C
Answer: A
NEW QUESTION: 3
An administrator needs to back up a server that resides in an untrusted domain. How can the server be accessed for backup without disrupting ongoing backup jobs?
A. by changing the Symantec Backup Exec service account to the new domain
B. by changing the System Logon account to an account from the new domain
C. by adding a logon account for the new domain and selecting it in the backup job
D. by adding a logon account for the new domain and setting it as the default logon account
Answer: C
NEW QUESTION: 4
You have a database named MyDatabase. You must monitor all the execution plans in XML format by using Microsoft SQL Trace. The trace must meet the following requirements:
- Capture execution plans only for queries that run the MyDatabase database.
- Filter out plans with event duration of less than or equal to 100 microseconds.
- Save trace results to a disk on the server.
You need to create the trace.
In which order should you arrange the Transact-SQL segments to develop the solution? To answer, move all Transact-SQL segments to the answer area and arrange them in the correct order.
NOTE: More than one order of answer choices is correct. You will receive credit for any of the correct orders you select.
DECLARE @traceEventId int = 122;
DECLARE @traceColumnIdForTextData int = 1;
DECLARE @durationFilter bigint = 100
DECLARE @databaseID int;
SELECT @databaseId = DB_ID('MyDatabase');
Answer:
Explanation:
Explanation
The following system stored procedures are used to define and manage traces:
* sp_trace_create is used to define a trace and specify an output file location as well asother options that I'll cover in the coming pages. This stored procedure returns a handle to the created trace, in the form of an integer trace ID.
* sp_trace_setevent is used to add event/column combinations to traces based on the trace ID, as well as toremove them, if necessary, from traces in which they have already been defined.
* sp_trace_setfilter is used to define event filters based on trace columns.
* sp_trace_setstatus is called to turn on a trace, to stop a trace, and to delete a trace definitiononce you're done with it. Traces can be started and stopped multiple times over their lifespan.
References: https://msdn.microsoft.com/en-us/library/cc293613.aspx