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NEW QUESTION: 1
A. Option A
B. Option B
C. Option C
D. Option D
Answer: C
NEW QUESTION: 2
You work as a project manager for Bluewell Inc. You have identified a project risk. You have then implemented the risk action plan and it turn out to be non-effective. What type of plan you should implement in such case?
A. Risk fallback plan
B. Explanation:
A risk fallback plan is a proper plan devised to identify definite action to be taken if the risk action plan (Risk Mitigation Plan) is not helpful. Fallback plan is important in Risk Response Planning. If the contingency plan for a risk is not successful, then the project team implements the fallback plan. Fall-back planning is intended for a known and specific activity that may perhaps fail to produce desired outcome. It is related with technical procedures and with the responsibility of the technical lead.
C. Risk response plan
D. Risk mitigation
E. Risk avoidance
Answer: A
Explanation:
A, and C are incorrect. These all choices itself comes under risk action plan. As in the described scenario, risk action plan is not turned to be effective, these should not be implemented again.
NEW QUESTION: 3
Exchange Server 2016組織があります。
一部のユーザーは、Mac用Microsoft Outlook 2016を使用してメールボックスに接続します。
Outlook 2016ユーザーがメールボックスに正常に接続できることを確認します。
仮想ディレクトリの構成エラーが疑われます。
どの仮想ディレクトリが問題の原因であるのかを特定する必要があります。
どの仮想ディレクトリを特定する必要がありますか？
A. Rpc
B. EWS
C. RpcWithCert
D. mapi
Answer: B
NEW QUESTION: 4
Which five items are provided by the Java concurrency utilities?
A. Asynchronous execution of tasks
B. Dynamic adjustment of thread priorities
C. Counting semaphores
D. Concurrent collection sorting implementations
E. synchronized wrappers for collection classes in the java.util package,
F. Collection classes designed for concurrent access
G. Atomic variables
H. High-performance, flexible thread pools
Answer: C,E,F,G,H
Explanation:
The Java 2 platform includes a new package of concurrency utilities. These are classes that are designed to be used as building blocks in building concurrent classes or applications. Just as the collections framework simplified the organization and manipulation of in-memory data by providing implementations of commonly used data structures, the concurrency utilities simplify the development of concurrent classes by providing implementations of building blocks commonly used in concurrent designs. The concurrency utilities include a highperformance, flexible thread pool; a framework for asynchronous execution of tasks; a host of collection classes optimized for concurrent access; synchronization utilities such as counting semaphores (G); atomic variables; locks; and condition variables.
The concurrency utilities includes:
*Task scheduling framework. The Executor interface standardizes invocation, scheduling, execution, and control of asynchronous tasks according to a set of execution policies. Implementations are provided that enable tasks to be executed within the submitting thread, in a single background thread (as with events in Swing), in a newly created thread, or in a thread pool, and developers can create customized implementations of Executor that support arbitrary execution policies. The built-in implementations offer configurable policies such as queue length limits and saturation policy that can improve the stability of applications by preventing runaway resource use.
*Fork/join framework. Based on the ForkJoinPool class, this framework is an implementation of Executor. It is designed to efficiently run a large number of tasks using a pool of worker threads
(A) . A work-stealing technique is used to keep all the worker threads busy, to take full advantage of multiple processors.
*(C) Concurrent collections. Several new collections classes were added, including the new Queue, BlockingQueue and BlockingDeque interfaces, and high-performance, concurrent implementations of Map, List, and Queue. See the Collections Framework Guide for more information.
*(D) Atomic variables. Utility classes are provided that atomically manipulate single variables (primitive types or references), providing high-performance atomic arithmetic and compare-and-set methods. The atomic variable implementations in the java.util.concurrent.atomic package offer higher performance than would be available by using synchronization (on most platforms), making them useful for implementing high-performance concurrent algorithms and conveniently implementing counters and sequence number generators.
*(E) Synchronizers. General purpose synchronization classes, including semaphores, barriers, latches, phasers, and exchangers, facilitate coordination between threads.
*Locks. While locking is built into the Java language through the synchronized keyword, there are a number of limitations to built-in monitor locks. The java.util.concurrent.locks package provides a high-performance lock implementation with the same memory semantics as synchronization, and it also supports specifying a timeout when attempting to acquire a lock, multiple condition variables per lock, nonnested ("hand-over-hand") holding of multiple locks, and support for interrupting threads that are waiting to acquire a lock.
*Nanosecond-granularity timing. The System.nanoTime method enables access to a nanosecond-granularity time source for making relative time measurements and methods that accept timeouts (such as the BlockingQueue.offer, BlockingQueue.poll, Lock.tryLock, Condition.await, and Thread.sleep) can take timeout values in nanoseconds. The actual precision of the System.nanoTime method is platform-dependent.
Reference: Java SE Documentation, Concurrency Utilities
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