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nomic benefits will flow to the entity and the cost or value of the instrument can be measured reliably (b) A financial asset is recognized when, and only when, the entity obtains control of the instrument and has the ability to dispose of the financial asset independent of the actions of others (c) A financial asset is recognized when, and only when, the entity obtains the risks and rewards of ownership of the financial asset and has the ability to dispose the financial asset (d) A financial asset is recognized when, and only when, the entity becomes a party to the contractual provisions of the instrument Answer: (d) 7 In which of the following circumstances is derecognition of a financial asset not appropriate (a) The contractual rights to the cash flows of the financial assets have expired.

area build identical link-state databases. To view the link-state database, use the show ip ospf database command. When the databases are complete, each router uses the Dijkstra Shortest-Path-First (SPF) algorithm to calculate a loop-free tree that describes the shortest (lowest-cost) path to every known destination in its area, with itself as the root of the tree. Each router builds its routing table from the SPF tree. As with any routing protocol, you can view the routing table with the show ip route command. OSPF EXHIBITS SOME DISTANCE-VECTOR-LIKE BEHAVIOR Network engineers often want to make a strict distinction between link-state and distance-vector protocols and categorize a particular routing protocol as being one or the other. Often this categorization is based on the type of information routers exchange. It may surprise you to learn that in many situations, the information exchanged between routers running a link-state protocol Is very distance-vector-like. With OSPF, Type 1 and Type 2 LSAs contain information about routers (nodes) and their respective interfaces (links). These LSAs are flooded throughout an area and provide sufficient information for all routers in the area to develop an accurate, detailed, and identical graph of the area topology. Routers piece together the information about individual routers and nodes, and, using the Dijkstra algorithm, derive intra-area IP reachability information. Summary LSAs (Type 3 and Type 4), and External LSAs (Type 5 and Type 7), on the other hand, convey information about IP prefix reachability much like distance-vector protocols do. This information allows routers to learn which other routers to use to reach particular prefixes. A router takes into account the cost (distance) to a remote prefix and the direction (a vector via the ABR). It fact, the router acts like it's running a distance-vector protocol!

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state where it is discarded. Above each state we write the number of errors (disagreements) between the surviving subpath leading to the state and the corresponding part of the received sequence. Finally, when we have reached the end, that is, the rightmost 00 state, we can easily trace back (dodging the discarded paths) and obtain the unique survivor ^ that is our decision v 00 11 01 10 01 11 for the codeword, which corresponds ^ to the information sequence u 0111 00 , where the last two binary digits are nothing but the known dummy zeros that were used to terminate the code sequence. ^ If v was the transmitted codeword, then 2 errors occurred during the transmission. After m 2 steps we have reached four surviving subpaths and we will continue to have 2m 4 surviving subpaths until we reach the terminating phase; then this number will be reduced by a factor of 2 until we reach the end of the trellis with only one survivor. This process is illustrated in Figure 5.20. We saw above that we could correct a certain pattern of two errors, namely, ^ ^ e r v 00 01 01 10 01 10 00 11 01 10 01 11 00 10 00 00 00 01 5:98

monthly). The savings of this space may not be trivial at all. In some cases, it amounts to as much as 25 percent of the total space required for the table. In addition, the data warehouse structuring of data requires one twelfth the index entries as the enterprise data model structuring of data. The other advantage is the possibility of organizing all yearly occurrences of data in a single physical location, creating the possibility of performance enhancement. This is due to a reduction in the number of physical inputs/outputs (I/Os) needed to retrieve the same data because many logical records are stored in one physical record. Whether this turns out to be a significant factor depends on many considerations, such as the use of data, which database management system (DBMS) is being used, the physical organization of the records within the DBMS, and so forth. The creation of arrays of data is not a general-purpose option. Only under the correct circumstances does it pay off to create arrays of data in the data warehouse data model. Those conditions are as follows: When the number of occurrences of data are predictable When the occurrence of data is relatively small (in terms of physical size) When the occurrences of data are frequently used together When the pattern of insertion and deletion is stable

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