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NEW QUESTION: 1
Which statements are due about Parallel Concurrent Processing? (Choose all that apply.)
A. Each node operates dependending of other nodes except when sharing sharing resources.
B. Managers could be administered only from the master node.
C. Processes could continue running on available nodes even when one or more nodes fail.
D. One or more managers could be run on one or more nodes.
E. Eachnode operates independently of other nodes except when sharing resources.
F. Processes Integrate with platform-specific batch queue and load-balancing systemsto maximumconcurrent processing performance on a particular platform.
Answer: C,D,E,F
Explanation:
A:With parallel concurrent processing, one or more concurrent managers run on one
or more nodes in a multi-node environment. You decide where concurrent managers run when
configuring your system.
C (not E): Each node operates independently of other nodes, except when sharing a resource
such as a disk.
D:Fault Tolerance--the ability to continue running concurrent processes on available nodes even
when one or more nodes fails.
F:Adaptability--the ability to integrate with platform-specific batch queue and load-balancing
systems to maximize concurrent processing performance on a particular platform.
Note:Parallel concurrent processing runs in multi-node environments, such as cluster, massively
parallel, and homogeneous networked environments. In these environments, each node consists
of one or more processors (CPUs) and their associated memory. Each node has its own memory
that is not shared with other nodes.
Parallel concurrent processing allows you to distribute concurrent managers across multiple nodes
in a cluster, massively parallel, or homogeneous networked environment. Instead of operating
concurrent processing on a single node while other nodes are idle, you can spread concurrent
processing across all available nodes, fully utilizing hardware resources.
Benefits of Parallel Concurrent Processing
Parallel concurrent processing provides Oracle Applications users with the following benefits:
*High performance--the ability to run concurrent processes on multiple nodes to improve concurrent processing throughput.
*Fault Tolerance--the ability to continue running concurrent processes on available nodes even when one or more nodes fails.
*Adaptability--the ability to integrate with platform-specific batch queue and load-balancing
systems to maximize concurrent processing performance on a particular platform.
*Single Point of Control--the ability to administer concurrent managers running on multiple nodes from any node in a cluster (not B), massively parallel, or homogeneous networked environment.
Reference: Overview of Parallel Concurrent Processing
NEW QUESTION: 2
A company's web application uses an Amazon RDS PostgreSQL DB instance to store its application data.
During the financial closing period at the start of every month. Accountants run large queries that impact the database's performance due to high usage. The company wants to minimize the impact that the reporting activity has on the web application.
What should a solutions architect do to reduce the impact on the database with the LEAST amount of effort?
A. Create a Multi-AZ database and direct reporting traffic to the standby.
B. Create a read replica and direct reporting traffic to the replica.
C. Create an Amazon Redshift database and direct reporting traffic to the Amazon Redshift database.
D. Create a cross-Region read replica and direct reporting traffic to the replica.
Answer: B
Explanation:
Explanation
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html Amazon RDS uses the MariaDB, MySQL, Oracle, PostgreSQL, and Microsoft SQL Server DB engines' built-in replication functionality to create a special type of DB instance called a read replica from a source DB instance. Updates made to the source DB instance are asynchronously copied to the read replica. You can reduce the load on your source DB instance by routing read queries from your applications to the read replica.
When you create a read replica, you first specify an existing DB instance as the source. Then Amazon RDS takes a snapshot of the source instance and creates a read-only instance from the snapshot. Amazon RDS then uses the asynchronous replication method for the DB engine to update the read replica whenever there is a change to the source DB instance. The read replica operates as a DB instance that allows only read-only connections. Applications connect to a read replica the same way they do to any DB instance. Amazon RDS replicates all databases in the source DB instance.
https://docs.aws.amazon.com/AmazonRDS/latest/UserGuide/USER_ReadRepl.html
NEW QUESTION: 3
Correlation data must always be associated with which two process objects? (Choose two.)
A. Start message event
B. Catch message event
C. Catch signal event
D. Send task
E. Receive task
Answer: B,E