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Microsoft SQL Server 2012 70-467 More detailed information is under below.
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70-467 PDF DEMO:
QUESTION NO: 1
You need to configure Library1 to support the planned self-service reports.
What is the best configuration you should add to Library1? More than one answer choice may achieve the goal. Select the BEST answer.
A. The Report Builder Model content type
B. The PowerPivot Gallery Document content type
C. The Report Builder report content type
D. The Report content type
Answer: C
QUESTION NO: 2
You need to develop a BISM that meets the business requirements for ad-hoc and daily operational analysis.
You must minimize development effort.
Which development approach and mode should you use?
A. Develop a multidimensional project and configure the model with the DirectQuery mode setting off.
B. Develop a tabular project and configure the model with the DirectQuery mode setting on and the project query mode set to DirectQuery.
C. Develop a multidimensional project and configure the cube to use hybrid OLAP (HOLAP) storage mode.
D. Develop a tabular project and configure the model with the DirectQuery mode setting on and the project query mode set to In-Memory with DirectQuery.
Answer: A
Explanation
/ After the upgrade users must be able to perform the following tasks:
/ Ad-hoc analysis of data in the SSAS databases by using the Microsoft Excel PivotTable client (which uses MDX).
/ Daily operational analysis by executing a custom application that uses ADOMD.NET and existing
Multidimensional Expressions (MDX) queries.
/ Deploy a data model to allow the ad-hoc analysis of data. The data model must be cached and source data from an OData feed.
We cannot use DirectQuery mode so C is the only answer that will provide the required caching.
When a model is in DirectQuery mode, it can only be queried by using DAX. You cannot use MDX to create queries. This means that you cannot use the Excel Pivot Client, because Excel uses MDX.
QUESTION NO: 3
You are the database administrator of a SQL Server 2012 data warehouse implemented as a single database on a production server.
The database is constantly updated by using SQL Server Integration Services (SSIS) packages and SQL
Server Analysis Services (SSAS) cube writeback operations.
The database uses the full recovery model. A backup strategy has been implemented to minimize data loss in the event of hardware failure.
SQL Server Agent jobs have been configured to implement the following backup operations:
* A full database backup every day at 12:00 A.M.
* Differential database backups every day at 6:00 A.M., 12:00 P.M., and 6:00 P.M.
* Transaction log backups every hour on the hour.
At 2:38 P.M. a SSIS package corrupts the data in a fact table. The corruption cannot be undone. You are notified at 3:15 P.M. You immediately take the database offline to prevent further data access and modification.
You need to restore the data warehouse and minimize downtime and data loss.
Which four actions should you perform in sequence? (To answer, move the appropriate actions from the list of actions to the answer area and arrange them in the correct order.
Answer:
Explanation
Box 1:
Box 2:
Box 3:
Box 4:
Note:
* (box 1)
/ For a database using the full or bulk-logged recovery model, in most cases you must back up the tail of the log before restoring the database. Restoring a database without first backing up the tail of the log results in an error, unless the RESTORE DATABASE statement contains either the WITH REPLACE or the WITH STOPAT clause, which must specify a time or transaction that occurred after the end of the data backup.
/ If the database is online and you plan to perform a restore operation on the database, before starting the restore operation, back up the tail of the log using WITH NORECOVERY:
BACKUP LOG database_name TO <backup_device> WITH NORECOVERY
* To restore a database to a specific point in time or transaction, specify the target recovery point in a STOPAT, STOPATMARK, or STOPBEFOREMARK clause.
* (incorrect, box 4): The STOPBEFOREMARK and STOPATMARK options have two parameters, mark_name and lsn_number. The mark_name parameter, which identifies a transaction mark in a log backup, is supported only in RESTORE LOG statements. The lsn_number parameter, which specifies a log sequence number, is supported in both RESTORE DATABASE statements and RESTORE LOG statements.
QUESTION NO: 4
You are creating a Multidimensional Expressions (MDX) calculation for Projected Revenue in a cube.
For Customer A, Projected Revenue is defined as 150 percent of the Total Sales for the customer. For all other customers, Projected Revenue is defined as 110 percent of the Total Sales for the customer.
You need to calculate the Projected Revenue as efficiently as possible.
Which calculation should you use? (More than one answer choice may achieve the goal. Select the
BEST answer.)
A. Option B
B. Option A
C. Option D
D. Option C
Answer: D
QUESTION NO: 5
You are designing an extract, transform, load (ETL) process for loading data from a SQL Server database into a large fact table in a data warehouse each day with the prior day's sales data.
The ETL process for the fact table must meet the following requirements:
* Load new data in the shortest possible time.
* Remove data that is more than 36 months old.
* Ensure that data loads correctly.
* Minimize record locking.
* Minimize impact on the transaction log.
You need to design an ETL process that meets the requirements.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Partition the destination fact table by customer. Use partition switching both to remove old data and to load new data into each partition.
B. Partition the destination fact table by date. Insert new data directly into the fact table and delete old data directly from the fact table.
C. Partition the destination fact table by date. Use partition switching and a staging table to remove old data. Insert new data directly into the fact table.
D. Partition the destination fact table by date. Use partition switching and staging tables both to remove old data and to load new data.
Answer: D
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Updated: May 28, 2022