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1 | |
Scalability refers to the ability to add and remove capacity in small units. |
| | A) | True |
| | B) | False |
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2 | |
In the case of division of processing, data validation can be performed locally on a client, remotely on the server, or it can be split between the two. |
| | A) | True |
| | B) | False |
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3 | |
In a multiple-client environment, a middleware component such as an Object-request brokers allows PC clients to request objects without having to know the platform, location, or implementation details of the object. |
| | A) | True |
| | B) | False |
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4 | |
The Web Services Architecture supports interaction between a service provider, service requestor, and service registry. |
| | A) | True |
| | B) | False |
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5 | |
A parallel DBMS uses a collection of resources (processors, disks, and memory) to perform work in parallel. Given a fixed resource budget, work is divided among resources to achieve desired levels of performance (scaleup and speedup) and availability. |
| | A) | True |
| | B) | False |
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6 | |
In a distributed DBMS, the global data dictionary is consulted by the distributed data manager because it contains information about the location of data at various sites. |
| | A) | True |
| | B) | False |
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7 | |
In a distributed DBMS environment that supports replication, a fragment can be allocated to multiple sites, but only the primary copy is guaranteed to be current. |
| | A) | True |
| | B) | False |
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8 | |
When fragments, locations, or local formats change, nothing needs to be done to the corresponding queries and transactions if fragmentation transparency is implemented in the distributed DBMS. |
| | A) | True |
| | B) | False |
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9 | |
With distributed query processing, global optimization involves decisions about data movement and site selection. |
| | A) | True |
| | B) | False |
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10 | |
Because of the complexity and the overhead involved, the primary copy protocol and the two-phase commit protocol are rarely used by most distributed DBMSs. |
| | A) | True |
| | B) | False |
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