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NEW QUESTION: 1
You are designing a SQL Server Integration Services (SSIS) solution. The solution will contain an SSIS project that includes several SSIS packages. Each SSIS package will define the same connection managers and variables.
You have the following requirements:
Ensure that the deployment model supports changing the content of connection strings by using

parameters at execution time.
Ensure that the deployment model automatically starts from calls to the catalog.start_execution stored

procedure in the SSISDB database.
Maximize performance at execution time.

Minimize development effort.

You need to design a solution that meets the requirements.
What should you do? (More than one answer choice may achieve the goal. Select the BEST answer.)
A. Use a package deployment model. Save each SSIS package to a file share that can be accessed from all environments.
B. Use a project deployment model. Modify connection manager properties to use project parameters.
Ensure that the SSISDB database is created.
C. Use a package deployment model. Use a SQL Server package configuration with a common filter.
Change the contents of the SSIS Configurations table at runtime.
D. Use a project deployment model. Configure connections in an XML configuration file referenced by an environment variable that corresponds to the SQL Server environment of each SSIS package.
Answer: B

NEW QUESTION: 2
HOTSPOT


Answer:
Explanation:

Explanation:

Scenario:
Box 1, Processing option:Default
Process Default detects the process state of database objects, and performs processing necessary to deliver unprocessed or partially processed objects to a fully processed state.
If you change a data binding, Process Default will do a Process Full on the affected object.
Note: Processing Method This setting controls whether the deployed objects are processed after deployment and the type of processing that will be performed. There are three processing options:
Default processing (default)
Full processing
None
Box 2, Transactional deployment: False
If this option is False, Analysis Services deploys the metadata changes in a single transaction, and deploys each processing command in its own transaction.
Scenario: The CustomerAnalysis data model will contain a large amount of data and needs to be shared with other developers even if a deployment fails. Each time you deploy a change during development, processing takes a long time.
References:https://docs.microsoft.com/en-us/sql/analysis-services/multidimensional- models/deployment-script-files-specifying-processing-options Topic 3, Case Study #3 Background You are a developer for a Seattle-based company. The company is expanding globally.
Many company employees speak fluent Mandarin and read Simplified Chinese.
You have six tabular data models that are deployed to two instances of Microsoft SQL Server Analysis Services (SSAS).
Users report that the query takes a long time to complete.
You are planning the disk space allocations for a new Microsoft SQL Server Analysis Services deployment. You plan to move several relational data file databases to the new SSAS instance. The databases require a total of 10 GB of disk space.
You also plan to deploy Cubes and Aggregations and use Object Processing. Cubes will have small fact tables and few dimension members. No unnecessary aggregations will be created. You plan to process an entire cube in a single transaction.
Data Models
One of the data models is named CustomerSales. This data model contains eight tables.
The model includes a table named Sales that defines several measures, including a measure named PriorYearSales. The PriorYearSales measure is referenced by other measures, and is not intended to be analyzed directly by users. You must translate the metadata for all fata the CustomerSales data model to Simplifies Chinese. Team members from the Shanghai office assist with identifying appropriate translations.
A data model named OrderAnalysis is deployed to one of the SSAS instances. Order data is loaded into the OrderAnalysis data as part of an overnight process. You observe that the model is not up-to-date.
The business analysis team uses a variety of client applications to issue MDX queries against OrderAnalysis. Order data must be completely up-to-date.
The OrderAnalysis model has two user-defined hierarchies that are defined in a table named Order. New customers are only added once per day. The overnight process is sufficiently up-to-date for the Customer data to provide optimal performance while achieving the data currency goals whenever possible.
Databases
You deploy a database named DB1 to an SSAS instance as a project by using SQL Server Data Tools. Data analysts report that they cannot access near real time data from the SSAS SalesAnalysis model from DB1. You discover that the project has been deployed with the Direct Query Mode option set to OFF.
Most queries that use the SalesAnalysis data model use data from a table named FactInternetSales that is 20 gigabyte (GB) in size. Cached data must be available for the FactInternetSales table. All queries accessing the SalesAnalysis model must be executed in near real time.

NEW QUESTION: 3
Click the Exhibit.
Route Next-hop AS-Path Origin Local Preference
Route 1 ISP 1 123 88 65512 I 100
Route 2 ISP 2 678 651111 E 100
Route 3 ISP 3 3245 6532 1231 65510 ? 200
Route 4 ISP 4 65512 E 150
You are receiving the same route prefix from four EBGP neighbors.
Based on the information provided in the exhibit, which route will be selected?
A. Route 2
B. Route 4
C. Route 3
D. Route 1
Answer: C

NEW QUESTION: 4
DRAG DROP
Match the action to the stage of the web attack.
Select and Place:

Answer:
Explanation:

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