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NEW QUESTION: 1
Which three issues can be addressed with an Oracle Database Performance and Tuning solution?
A. database replication
B. fragmented database tables
C. unlimited I/O
D. declining database responsiveness
E. database registry errors
F. erratic or inconsistent database performance
Answer: A,B,C

NEW QUESTION: 2
Which of the following statements is TRUE?
A. An IES service must use static routes in order to communicate with customer networks.
B. An IES interface supports OSPF and IS-IS in passive mode only.
C. An OSPF adjacency can be established on an IES interface.
D. IES allows provider MP-BGP sessions to be extended to customers.
Answer: C

NEW QUESTION: 3
What is the preferred way to pass a small number of configuration parameters to a mapper or reducer?
A. As a custom input key-value pair passed to each mapper or reducer.
B. As key-value pairs in the jobconf object.
C. Using a plain text file via the Distributedcache, which each mapper or reducer reads.
D. Through a static variable in the MapReduce driver class (i.e., the class that submits the MapReduce job).
Answer: B
Explanation:
In Hadoop, it is sometimes difficult to pass arguments to mappers and reducers. If
the number of arguments is huge (e.g., big arrays), DistributedCache might be a good choice.
However, here, we're discussing small arguments, usually a hand of configuration parameters.
In fact, the way to configure these parameters is simple. When you initialize"JobConf"object to
launch a mapreduce job, you can set the parameter by using"set"method like:
1JobConf job = (JobConf)getConf();
2job.set("NumberOfDocuments", args[0]);
Here,"NumberOfDocuments"is the name of parameter and its value is read from"args[0]", a
command line argument.
Reference:Passing Parameters and Arguments to Mapper and Reducer in Hadoop

NEW QUESTION: 4
Which of the following provides the BEST application availability and is easily expanded as demand grows?
A. Server virtualization
B. Load balancing
C. Active-Passive Cluster
D. RAID 6
Answer: B
Explanation:
Load balancing is a way of providing high availability by splitting the workload across multiple computers.
Incorrect Answers:
A. Virtualization is the foundation for cloud computing. You cannot have cloud computing without virtualization. It makes it possible by abstracting the hardware and making it available to the virtual machines. The abstraction is done through the use of a hypervisor, which can be either Type I (bare metal) or Type II (hosted).
C. Active-Passive cluster will provide application availability, but is not as easily expanded as load balancing.
D. RAID or redundant array of independent disks (RAID). RAID allows your existing servers to have more than one hard drive so that if the main hard drive fails, the system keeps functioning.
References:
Dulaney, Emmett and Chuck Eastton, CompTIA Security+ Study Guide, 6th Edition, Sybex, Indianapolis, 2014, pp. 234-
235