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NEW QUESTION: 1
デフォルトのip ssh server authenticate userコマンドの結果は何ですか?
A. 公開キー、キーボード、およびパスワード認証方法を有効にします。
B. 公開鍵認証方式のみを有効にします。
C. パスワード認証方法のみを有効にします。
D. キーボード認証方法のみを有効にします。
Answer: A
NEW QUESTION: 2
Assume 20 bytes of voice payload 6 byte for the the Layer 2 header, 1 byte for the end-of-frame flag and the IP,UDP,RTP headers are compressed to 2 bytes, how much bandwidth should be allocated to the strict priority queue for sic VOIP that use a G.729 codec over a multilink PPP link with cRTP enabled
A. 80.4 kb/s
B. 78.4 kb/s
C. 91.2 kb/s
D. 69.6 kb/s
E. 62.4 kb/s
Answer: D
NEW QUESTION: 3

Answer:
Explanation:
Explanation
* Azure Rights Management service
Azure Rights Management service uses encryption, identity, and authorization policies to help secure your files and email, and it works across multiple devices-phones, tablets, and PCs. Information can be protected both within your organization and outside your organization because that protection remains with the data, even when it leaves your organization's boundaries.
* Transparent Data Encryption
Transparent Data Encryption (often abbreviated to TDE) is a technology employed by both Microsoft and Oracle to encrypt database files. TDE offers encryption at file level. TDE solves the problem of protecting data at rest, encrypting databases both on the hard drive and consequently on backup media.
* TLS/SSL
Transport Layer Security (TLS) and its predecessor, Secure Sockets Layer (SSL), are cryptographic protocols designed to provide communications security over a computer network. They use X.509 certificates and hence asymmetric cryptography to authenticate the counterparty with whom they are communicating, and to negotiate a symmetric key.
References: https://technet.microsoft.com/en-us/library/jj585004.aspx
http://en.wikipedia.org/wiki/Transparent_Data_Encryption
http://en.wikipedia.org/wiki/Transport_Layer_Security
NEW QUESTION: 4
Which statement best describes the data path of intermediate key-value pairs (i.e., output of the mappers)?
A. Intermediate key-value pairs are written to HDFS. Reducers read the intermediate data from HDFS.
B. Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and are then copied to HDFS. Reducers read the intermediate data from HDFS.
C. Intermediate key-value pairs are written to the local disks of the machines running the map tasks, and then copied to the machine running the reduce tasks.
D. Intermediate key-value pairs are written to HDFS. Reducers copy the intermediate data to the local disks of the machines running the reduce tasks.
Answer: C
Explanation:
The mapper output (intermediate data) is stored on the Local file system (NOT HDFS) of each individual mapper nodes. This is typically a temporary directory location which can be setup in config by the hadoop administrator. The intermediate data is cleaned up after the Hadoop Job completes.
Note: *Reducers start copying intermediate key-value pairs from the mappers as soon as they are available. The progress calculation also takes in account the processing of data transfer which is done by reduce process, therefore the reduce progress starts showing up as soon as any intermediate key-value pair for a mapper is available to be transferred to reducer. Though the reducer progress is updated still the programmer defined reduce method is called only after all the mappers have finished.
*Reducer is input the grouped output of a Mapper. In the phase the framework, for each Reducer, fetches the relevant partition of the output of all the Mappers, via HTTP.
*Mapper maps input key/value pairs to a set of intermediate key/value pairs.
Maps are the individual tasks that transform input records into intermediate records. The transformed intermediate records do not need to be of the same type as the input records. A given input pair may map to zero or many output pairs.
*All intermediate values associated with a given output key are subsequently grouped by the framework, and passed to the Reducer(s) to determine the final output.
Reference:Questions & Answers for Hadoop MapReduce developers,Where is the Mapper Output (intermediate kay-value data) stored ?