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NEW QUESTION: 1
A company needs to maintain and verify backups at a secondary site to meet the following requirements: RTO of two hours, RPO of 12 hours, four weeks retention. Which of the following backup copy job configurations meets these requirements?
A. Periodic backup copy job, scheduled for a 12-hour interval, with 112 restore points to retain
B. Periodic backup copy job, scheduled for a 12-hour interval, with 56 restore points to retain
C. Periodic backup copy job, scheduled for a two-hour interval, with 56 restore points to retain
D. Periodic backup copy job, scheduled for a two-hour interval, with 112 restore points to retain
Answer: D
Explanation:
Explanation: Section: (none)
NEW QUESTION: 2
You have a SharePoint Server 2013 server farm.
The corporate taxonomy contains two term sets named Offices and Cities.
You need to ensure that the terms in the Cities term set can be used by the Offices term set,
What should you use?
A. pinned terms
B. managed navigation
C. local properties
D. query refinement
Answer: A
Explanation:
SharePoint 2013 adds the concept of Pinning to taxonomy and the term store management tool. You might first encounter the option to Pin instead of Reuse on the page to add a catalog connection from cross site publishing or as a new node in the menu for a term in the term store management tool titled "Pin Term With Children." While at least one reason for choosing Pinning is better understood in the context of search driven publishing the tangible difference between the two is actually concise.
The difference is that while Pinning maintains a certain relationship (shared properties) between source term and Reuse instance on a one on one basis as Reuse does, Pinning also updates the hierarchy regarding the removal and addition of terms anywhere within that hierarchy.
NEW QUESTION: 3
You are designing a data warehouse with two fact tables. The first table contains sales per month and the second table contains orders per day.
Referential integrity must be enforced declaratively.
You need to design a solution that can join a single time dimension to both fact tables.
What should you do?
A. Create a time dimension that can join to both fact tables at their respective granularity.
B. Create a view on the sales table.
C. Create a surrogate key for the time dimension.
D. Join the two fact tables.
Answer: C
Explanation:
With dimensionally modeled star schemas or snowflake schemas, decision support queries follow a typical pattern: the query selects several measures of interest from the fact table, joins the fact rows with one or several dimensions along the surrogate keys, places filter predicates on the business columns of the dimension tables, groups by one or several business columns, and aggregates the measures retrieved from the fact table over a period of time. The following demonstrates this pattern, which is also sometimes referred to as a star join query: select ProductAlternateKey, CalendarYear,sum(SalesAmount) from FactInternetSales Fact join DimTime on Fact.OrderDateKey = TimeKey join DimProduct on DimProduct.ProductKey = Fact.ProductKey where CalendarYear between 2003 and 2004 and ProductAlternateKey like 'BK%' group by ProductAlternateKey,CalendarYear
