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NEW QUESTION: 1
Which type of cable is used to connect the COM port of a host to the COM port of a router or switch?
A. crossover
B. straight-through
C. rolled
D. shielded twisted-pair
Answer: C
NEW QUESTION: 2
What types of algorithms are difficult to express in MapReduce v1 (MRv1)?
A. Large-scale graph algorithms that require one-step link traversal.
B. Relational operations on large amounts of structured and semi-structured data.
C. Algorithms that require applying the same mathematical function to large numbers of individual binary records.
D. Algorithms that require global, sharing states.
E. Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
Answer: D
Explanation:
See 3) below. Limitations of Mapreduce - where not to use Mapreduce
While very powerful and applicable to a wide variety of problems, MapReduce is not the answer to every problem. Here are some problems I found where MapReudce is not suited and some papers that address the limitations of MapReuce.
1.Computation depends on previously computed values If the computation of a value depends on previously computed values, then MapReduce cannot be used. One good example is the Fibonacci series where each value is summation of the previous two values. i.e., f(k+2) = f(k+1) + f(k). Also, if the data set is small enough to be computed on a
single machine, then it is better to do it as a single reduce(map(data)) operation rather than going through the entire map reduce process.
2.Full-text indexing or ad hoc searching The index generated in the Map step is one dimensional, and the Reduce step must not generate a large amount of data or there will be a serious performance degradation. For example, CouchDB's MapReduce may not be a good fit for full-text indexing or ad hoc searching. This is a problem better suited for a tool such as Lucene.
3.Algorithms depend on shared global state Solutions to many interesting problems in text processing do not require global synchronization. As a result, they can be expressed naturally in MapReduce, since map and reduce tasks run independently and in isolation. However, there are many examples of algorithms that depend crucially on the existence of shared global state during processing, making them difficult to implement in MapReduce (since the single opportunity for global synchronization in MapReduce is the barrier between the map and reduce phases of processing)
Reference: Limitations of Mapreduce - where not to use Mapreduce
NEW QUESTION: 3
다음 중 ISO 9000 표준과 관련이 없는 것은 무엇입니까?
A. ISO 9000 표준의 목표는 고품질의 제품과 서비스를 보장하는 것입니다.
B. ISO 9000 표준은 기술 및 시장 개발을 설명하기 위해 5 년마다 개정됩니다.
C. 표준 준수는 자발적입니다.
D. ISO 9000은 기업 내에서 품질 시스템을 확립하고 유지하기 위한 일련의 일반 표준입니다.
Answer: A
Explanation:
The objective of ISO 9000 standards is to ensure consistent quality even if the quality poor. The market determines the quality of the result.
NEW QUESTION: 4
Which one of the following is an example of hyperlink spoofing?
A. Connecting the user to a different web server.
B. Executing Hypertext Transport Protocol Secure GET commands.
C. Starting the user's browser on a secured page.
D. Compromising a web server Domain Name Service reference.
Answer: A
Explanation:
The problem is that most users do not request to connect to DNS names or even URLs, they follow hyperlinks... But, whereas DNS names are subject to "DNS spoofing" (whereby a DNS server lies about the internet address of a server) so too are URLs subject to what I call "hyperlink spoofing" or "Trojan HTML", whereby a page lies about an URLs DNS name. Both forms of spoofing have the same effect of steering you to the wrong internet site, however hyperlink spoofing is technically much easier than DNS spoofing. http://www.brd.ie/papers/sslpaper/sslpaper.html