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NEW QUESTION: 1
Which of the following IP addresses would be hosts on the same subnet given the subnet mask 255.255.255.224? (Select TWO).
A. 10.4.4.199
B. 10.4.4.165
C. 10.4.4.125
D. 10.4.4.158
E. 10.4.4.189
Answer: B,E
Explanation:
With the given subnet mask, a maximum number of 30 hosts between IP addresses
10.4.4.161 and 10.4.4.190 are allowed. Therefore, option C and D would be hosts on the same subnet, and the other options would not.
References:
http://www.subnetonline.com/pages/subnet-calculators/ip-subnet-calculator.php

NEW QUESTION: 2
Which five items are provided by the Java concurrency utilities?
A. Counting semaphores
B. Dynamic adjustment of thread priorities
C. High-performance, flexible thread pools
D. Collection classes designed for concurrent access
E. Concurrent collection sorting implementations
F. Asynchronous execution of tasks
G. Atomic variables
H. synchronized wrappers for collection classes in the java.util package,
Answer: A,C,D,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

NEW QUESTION: 3
Registry1という名前のAzure Container Registryがあります。
次の表に示すように、Registry1の役割の割り当てを追加します。

どのユーザーがRegistry1に画像をアップロードし、Registry1から画像をダウンロードできますか？回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

Answer:
Explanation:

Explanation

Box 1: User1 and User4 only
Owner, Contributor and AcrPush can push images.
Box 2: User1, User2, and User4
All, except AcrImagineSigner, can download/pull images.

References:
https://docs.microsoft.com/bs-latn-ba/azure/container-registry/container-registry-roles

NEW QUESTION: 4

A. Option D
B. Option B
C. Option C
D. Option E
E. Option A
Answer: C,E
Explanation:
Layer 2 switches offer a number of benefits to hubs, such as the use of VLANs and each switch port is in its own separate collision domain, thus eliminating collisions on the segment.