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NEW QUESTION: 1
Refer to the exhibit.
Ephone 1 has three active calls. The first two calls were inbound calls, which the user put on hold to place a third call outbound. What will happen on ephone 1 when a fourth call arrives for extension 2001?
A. The fourth call will be delivered to ephone 1 because the huntstop channel setting is not yet saturated.
B. The fourth call will be delivered to ephone 1 because it only received two inbound calls, one call less than the busy-trigger-per-button setting.
C. The fourth call will be delivered to ephone 1 because it can handle up to five calls on each button.
D. The fourth call will not be delivered and the caller will hear a user busy tone.
E. The fourth call will be held temporarily by the IOS Software until ephone 1 disconnects one of the active calls.
Answer: D
Explanation:
Explanation/Reference:
Explanation: Because on line maximum 4 calls can be placed when user put the call on hold is consume a channel and reach the maximum number of calls on line.
NEW QUESTION: 2
エンタープライズリソースプランニング（ERP）の実装のためのプロジェクト会議中。新しい要件が財務部門から要求されました。プロジェクトに結果として生じるリスクが評価されたことを情報システム監査人に最もよく示すのは次のうちどれですか？
A. 議事録で報告されたプロジェクトのステータス
B. 更新されたビジネス要件。
C. 財務部門による変更の承認。
D. 要件のコストと時間の影響の分析
Answer: D
NEW QUESTION: 3
You have two tables with referential integrity enforced between them. You need to insert data to the child table first because it is going to be a long transaction and data for the parent table will be available in a later stage, which can be inserted as part of the same transaction.
View the Exhibit to examine the commands used to create tables.
Which action would you take to delay the referential integrity checking until the end of the transaction?
Exhibit:
A. Enable the resumable mode for the session before starting the transaction
B. Set the constraint to deferred before starting the transaction
C. Set the COMMIT_WAIT parameter to FORCE_WAIT for the session before starting the transaction
D. Alter the constraint to NOVALIDATE state before starting the transaction
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Specifying Constraint State
As part of constraint definition, you can specify how and when Oracle should enforce the constraint.
constraint_state You can use the constraint_state with both inline and out-of-line specification. You can specify the clauses of constraint_state in any order, but you can specify each clause only once.
DEFERRABLE Clause The DEFERRABLE and NOT DEFERRABLE parameters indicate whether or not, in subsequent transactions, constraint checking can be deferred until the end of the transaction using the SET CONSTRAINT(S) statement. If you omit this clause, then the default is NOT DEFERRABLE.
Specify NOT DEFERRABLE to indicate that in subsequent transactions you cannot use the SET CONSTRAINT[S] clause to defer checking of this constraint until the transaction is committed. The checking of a NOT DEFERRABLE constraint can never be deferred to the end of the transaction.
If you declare a new constraint NOT DEFERRABLE, then it must be valid at the time the CREATE TABLE or ALTER TABLE statement is committed or the statement will fail.
Specify DEFERRABLE to indicate that in subsequent transactions you can use the SET CONSTRAINT[S] clause to defer checking of this constraint until after the transaction is committed. This setting in effect lets you disable the constraint temporarily while making changes to the database that might violate the constraint until all the changes are complete.
You cannot alter the deferability of a constraint. That is, whether you specify either of these parameters, or make the constraint NOT DEFERRABLE implicitly by specifying neither of them, you cannot specify this clause in an ALTER TABLE statement. You must drop the constraint and re-create it.
NEW QUESTION: 4
A. Option B
B. Option D
C. Option A
D. Option C
Answer: D
Explanation:
Topic 4, WingTip Toys
General Background
You are a data architect for WingTip Toys. The company uses SQL Server 2012 Enterprise edition. SQL Server Analysis Services (SSAS) and SQL Server Reporting Services (SSRS) are installed on separate servers.
Data Warehouse
The company's data warehouse initially contained less than 100 MB and 100 million rows of data from only one data source. It now contains more than 10 TB and 10 billion rows of data, in 25 tables, from 12 data sources.
The largest table in the data warehouse, the factOrders table, contains 5 TB of data. The factOrders table contains three date keys: OrderDateKey InvoiceDateKey, and ShipDateKey. The data warehouse server has 1 TB of RAM. Memory usage is currently at 20 percent.
One billion rows of data are added to the data warehouse each month. New data is copied each night from the data sources into SQL Server staging tables, and existing records are not updated. The largest data set is order information, which is loaded in parallel into multiple staging tables, one for each data source. All the staging tables have the same structure and belong to the same filegroup as the factOrders table.
The dimCustomers table stores customer information that may change over time.
Data Models
You are developing three SSAS databases, as described in the following table.
Reporting
Business users frequently generate reports in Microsoft Excel by using PowerPivot. The PowerPivot Management Dashboard does not currently display any usage data.
Several SSRS reports exist that use the data warehouse as a source. The data warehouse queries are aggregate queries that use the factOrders table and one or more dimension tables. All SSRS data sources use Integrated Windows authentication.
SSRS displays a security access error message when managers run SSRS reports based on the Operations database.
Reporting performance has become unacceptably slow.
Business Requirements
Improve the query speed of the SSRS reports.
Allow business users to create reports by using PowerPivot and Power View.
Ensure that all users other than business users can view metadata for the Customers
dimension. Ensure that business users cannot view metadata for the Customers
dimension.
Technical Requirements
Modify the tables in the data warehouse to minimize aggregate query processing time. Minimize disk storage in the data warehouse.
Ensure that all multidimensional models process data as quickly as possible.
Create a fact table named factCustomerContact in the data warehouse to store the contact
date, customer key, and communication type for each instance of customer contact.
Store the history of customer information changes in the dimCustomers table.
Move data from the staging tables into the factOrders table as quickly as possible. When
creating dimensions for the date keys in the factOrders table, minimize storage space
requirements and optimize the cube processing time.
Ensure that queries against the Sales database return the most current data in the data
warehouse.
Ensure that the SSAS model of the Finance database does not page to disk or return a
memory error as the size of the database grows.
Create an SSAS monitoring solution that tracks the following data: Queries answered per second Queries from cache direct per second Queries from file per second.
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