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NEW QUESTION: 1
Examine this command:
SQl> CREATE DISKGROUP RECO HIGH REDUNDANCY:
FAILGROUP fgrpl1 DISK
'/dev/disk1' NAME disk1,
'/dev/disk2' NAME disk2,
'/dev/disk3' NAME disk3,
FAILGROUP fgrpl2 DISK
'/dev/disk4' NAME disk4,
'/dev/disk5' NAME disk5,
'/dev/disk6' NAME disk6,
FAILGROUP fgrpl3 DISK
'/dev/disk7' NAME disk7,
'/dev/disk8' NAME disk8,
'/dev/disk9' NAME disk9,
ATTRIBUTE 'au_size'='4M',
'compatible.asm' = '12.1',
'compatible.rdbms' = '12.1',
'compatible.advm' = '12.1',
'content_type' = 'recovery';
Which two statements are true about this disk group?
A. Files created using a template with the redundancy attribute set to HIGH will have three-way mirroring.
B. Any database instance with the COMPATIBLE parameter 10.1 and higher can use it.
C. File created in it have three copies for each allocation unit.
D. Files created using a template with the redundancy attributes set to MIRROR will have three-way Mirroring.
E. The Compatible attribute values of the disk group can bechanged to lower values.
F. The RECO diskgroup may only be used for the FRA.
Answer: A,C
Explanation:
For Oracle ASM to mirror files, specify the redundancy level as NORMAL REDUNDANCY (2-way mirroring by default for most file types) or HIGH REDUNDANCY (3-way mirroring for all files).
Note:
When a file is created, redundancy and striping attributes are set for that file based on an explicitly named template or the system template that is the default template for the file type.

NEW QUESTION: 2
If the market-determined yield to maturity for a debt security is equal to the security's coupon interest rate, the security's fair market value is equal to its face or par value.
A. False
B. True
Answer: B

NEW QUESTION: 3
Amazon EMRのHadoop MapReduceを参照すると、「ユーザー定義の処理単位、データを操作する1つのアルゴリズムへの大まかなマッピング」と最も適切なものはどれですか。
A. クラスタマップ
B. クラスタストア
C. クラスタステップ
D. マルチクラスタ
Answer: C
Explanation:
A cluster step is a user-defined unit of processing, mapping roughly to one algorithm that manipulates the data.
A step is a Hadoop MapReduce application implemented as a Java jar or a streaming program written in Java, Ruby, Perl, Python, PHP, R, or C++. For example, to count the frequency with which words appear in a document, and output them sorted by the count, the first step would be a MapReduce application which counts the occurrences of each word, and the second step would be a MapReduce application which sorts the output from the first step based on the counts.
Reference: https://aws.amazon.com/elasticmapreduce/faqs/