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NEW QUESTION: 1
You have an Oracle Database 11g on-premises database with encrypted tablespaces.
You want to migrate this database to the pre-created database of the Database as a Service (DBaaS) instance on Oracle Cloud.
Which two statements are true about this migration?
A. You can use Data Pump TTS with the ENCRYPTED_PASSWORDparameter.
B. Data is sent in clear when the NETWORK_LINKoption is used.
C. You can use Data Pump TTS with the ENCRYPTION_PASSWORDparameter.
D. The on-premises database platform must be of the same endianness as the DBaaS platform.
E. You can use Full Transportable (TDB).
Answer: C,D
Explanation:
Explanation/Reference:
The Data Pump Transportable Tablespace method can be used only if the on-premises platform is little endian, and the database character sets of your on-premises database and Oracle Database Cloud Service database are compatible.
Note: If the job you are attaching to was initially started using an encryption password, then when you attach to the job you must again enter the ENCRYPTION_PASSWORD parameter on the command line to re-specify that password. The only exception to this is if the job was initially started with the ENCRYPTION=ENCRYPTED_COLUMNS_ONLY parameter. In that case, the encryption password is not needed when attaching to the job.
References: https://docs.oracle.com/en/cloud/paas/database-dbaas-cloud/csdbi/mig-11g-11g.html
NEW QUESTION: 2
Which two parameters does the Tunnel Mode Auto Selection feature select automatically? (Choose two.)
A. the tunnel peer
B. the transport protocol
C. the transform-set
D. the ISAKMP profile
E. the tunneling protocol
Answer: B,E
Explanation:
Explanation/Reference:
Explanation:
NEW QUESTION: 3
What is used to hide data from unauthorized users by allowing a relation in a database to contain multiple tuples with the same primary keys with each instance distinguished by a security level?
A. Polyinstantiation
B. Data mining
C. Noise and perturbation
D. Cell suppression
Answer: A
Explanation:
Polyinstantiation enables a relation to contain multiple tuples with the same primary keys with each instance distinguished by a security level. Instead of just restricting access, another set of data is created to fool the lower-level subjects into thinking that the information actually means something else. Data mining is the process of extracting and processing the information held in a data warehouse into something useful. Cell suppression is a technique used to hide specific cells that contain information that could be used in inference attacks. Noise and perturbation is a technique of inserting bogus data to misdirect an attacker. Source: HARRIS, Shon, All-In-One CISSP Certification Exam Guide, McGraw-Hill/Osborne, 2002, chapter 11: Application and System Development (page 727).
NEW QUESTION: 4
You want to count the number of occurrences for each unique word in the supplied input data. You've decided to implement this by having your mapper tokenize each word and emit a literal value 1, and then have your reducer increment a counter for each literal 1 it receives. After successful implementing this, it occurs to you that you could optimize this by specifying a combiner. Will you be able to reuse your existing Reduces as your combiner in this case and why or why not?
A. Yes, because the sum operation is both associative and commutative and the input and output types to the reduce method match.
B. No, because the Combiner is incompatible with a mapper which doesn't use the same data type for both the key and value.
C. Yes, because Java is a polymorphic object-oriented language and thus reducer code can be reused as a combiner.
D. No, because the Reducer and Combiner are separate interfaces.
E. No, because the sum operation in the reducer is incompatible with the operation of a Combiner.
Answer: A
Explanation:
Combiners are used to increase the efficiency of a MapReduce program. They are used to aggregate intermediate map output locally on individual mapper outputs. Combiners can help you reduce the amount of data that needs to be transferred across to the reducers. You can use your reducer code as a combiner if the operation performed is commutative and associative. The execution of combiner is not guaranteed, Hadoop may or may not execute a combiner. Also, if required it may execute it more then 1 times. Therefore your MapReduce jobs should not depend on the combiners execution.
Reference: 24 Interview Questions & Answers for Hadoop MapReduce developers, What are combiners? When should I use a combiner in my MapReduce Job?