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NEW QUESTION: 1
During the execution of a dialog transaction, you receive an error message about a failed authority check. How could you analyze this? (Choose two)
A. Analyze the entry in transaction SU53 (Authorization Data for User) and compare with the User Master Record.
B. Get the name of the authorization object from the F1 help, navigate to its definition (in SE80) and apply the where-used list.
C. Use the F1 help to check the message ID and then apply the where-used list in transaction SE91.
D. Create a Breakpoint on Statement AUTHORITY-CHECK and watch out for return codes other than 0.
Answer: A,D

NEW QUESTION: 2
To address the risk of operations staff's failure to perform the daily backup, management requires that the systems administrator sign off on the daily backup. This is an example of risk:
A. avoidance.
B. mitigation.
C. acceptance.
D. transference.
Answer: B
Explanation:
Mitigation is the strategy that provides for the definition and implementation of controls to address the risk described. Avoidance is a strategy that provides for not implementing certain activities or processes that would incur risk. Transference is the strategy that provides for sharing risk with partners or taking insurance coverage. Acceptance is a strategy that provides for formal acknowledgement of the existence of a risk and the monitoring of that risk.

NEW QUESTION: 3
Which two activities are examples of social engineering? (Choose two)
A. sending a verbal request to an administrator to change the password to the account of a user the administrator does know
B. receiving call from the IT department asking you to verify your username/password to maintain the account
C. receiving an unexpected email from an unknown person with an uncharacteristic attachment from someone in the same company
D. receiving an invite to your department's weekly WebEx meeting
E. receiving an email from MR requesting that you visit the secure HR website and update your contract information
Answer: B,E

NEW QUESTION: 4
What types of algorithms are difficult to express in MapReduce v1 (MRv1)?
A. Large-scale graph algorithms that require one-step link traversal.
B. Algorithms that require global, sharing states.
C. Text analysis algorithms on large collections of unstructured text (e.g, Web crawls).
D. Algorithms that require applying the same mathematical function to large numbers of individual binary records.
E. Relational operations on large amounts of structured and semi-structured data.
Answer: B
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

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