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NEW QUESTION: 1
Consider the following sequence of CELLCLI commands and SQL statements:
All CELLCLI commands and SQL statements are executed successfully without warnings.
Which statement is true about the I/O performance of the DATA01 ASM diskgroups?
A. The DATA01 diskgroup has better performance because the DATA01 griddisks are created on interleaved cell disks.
B. The DATA02 ASM diskgroup has better performance because the DATA02 diskgroups was created first.
C. The DATA01 diskgroups has better performance because the DATA01 griddisks were created first.
D. The performance of both diskgroups is balanced because they are created on interleaved
griddisks.
Answer: C
Explanation:
Griddisks are the fourth layer of abstraction, and they will be the Candidate Disks to
build your ASM diskgroups from. By default (interleaving=none on the Celldisk layer), the first
Griddisk that is created upon a Celldisk is placed on the outer sectors of the underlying Harddisk.
It will have the best performance therefore
Incorrect:
Not D: non-interleaved is the default.
NEW QUESTION: 2
HOTSPOT
You need to identify the minimum number of images required to meet the image requirements for Fabrikam.
How many images should you identify? To answer, select the appropriate number of images for each operating system in the answer area.
Answer:
Explanation:
NEW QUESTION: 3
You are creating a SQL Server Integration Services (SSIS) package to populate a fact table from a source table. The fact table and source table are located in a SQL Azure database. The source table has a price field and a tax field. The OLE DB source uses the data access mode of Table.
You have the following requirements:
* The fact table must populate a column named TotalCost that computes the sum of the price and tax columns.
* Before the sum is calculated, any records that have a price of zero must be discarded.
You need to create the SSIS package in SQL Server Data Tools.
In what sequence should you order four of the listed components for the data flow task? (To answer, move the appropriate components from the list of components to the answer area and arrange them in the correct order.)
Answer:
Explanation:
Explanation
Box 1: Ole DB Source
Box 2: Conditional Split
Disregard lines with a 0 sum.
Box 3: Derived column
Box 4: Ole DB Destination
Note:
* You configure a Data Flow task by adding components to the Data Flow tab. SSIS supports three types of data flow components:
Sources: Where the data comes from
Transformations: How you can modify the data
Destinations: Where you want to put the data
* Creating a data flow includes the following steps:
/ Adding one or more sources to extract data from files and databases, and add connection managers to connect to the sources.
/ Adding the transformations that meet the business requirements of the package. A data flow is not required to include transformations.
Some transformations require a connection manager. For example, the Lookup transformation uses a connection manager to connect to the database that contains the lookup data.
/ Connecting data flow components by connecting the output of sources and transformations to the input of transformations and destinations.
/ Adding one or more destinations to load data into data stores such as files and databases, and adding connection managers to connect to the data sources.
/ Configuring error outputs on components to handle problems.
At run time, row-level errors may occur when data flow components convert data, perform a lookup, or evaluate expressions. For example, a data column with a string value cannot be converted to an integer, or an expression tries to divide by zero. Both operations cause errors, and the rows that contain the errors can be processed separately using an error flow.
/ Include annotations to make the data flow self-documenting.
* The capabilities of transformations vary broadly. Transformations can perform tasks such as updating, summarizing, cleaning, merging, and distributing data. You can modify values in columns, look up values in tables, clean data, and aggregate column values.
* The Data Flow task encapsulates the data flow engine that moves data between sources and destinations, and lets the user transform, clean, and modify data as it is moved. Addition of a Data Flow task to a package control flow makes it possible for the package to extract, transform, and load data.
A data flow consists of at least one data flow component, but it is typically a set of connected data flow components: sources that extract data; transformations that modify, route, or summarize data; and destinations that load data.