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NEW QUESTION: 1
An integration Mule application is deployed to a customer-hosted multi-node Mule 4 runtime duster. The Mule application uses a Listener operation of a JMS connector to receive incoming messages from a JMS queue.
How are the messages consumed by the Mule application?
A. Regardless of the Listener operation configuration, all messages are consumed by ONLY the primary cluster node
B. Depending on the JMS provider's configuration, either all messages are consumed by ONLY the primary cluster node or else ALL messages are consumed by ALL cluster nodes
C. Depending on the Listener operation configuration, either all messages are consumed by ONLY the primary cluster node or else EACH message is consumed by ANY ONE cluster node
D. Regardless of the Listener operation configuration, all messages are consumed by ALL cluster nodes
Answer: C

NEW QUESTION: 2
What should you do before handling the processor of an HP Z840 workstation?
A. Check for specific POST error codes to ensure that the processor is functioning property.
B. Wash hands, and wear hypoallergenic protective gloves.
C. Take note of the orientation of the gold triangle and notches on the processor.
D. Run the Built in Self Test (BIST) to ensure that no faults are present.
Answer: D
Explanation:
Reference:
http://h10032.www1.hp.com/ctg/Manual/c04486427

NEW QUESTION: 3



What is the subnet broadcast address of the LAN connected to Router1?
A. 192.168.8.15
B. 192.168.8.127
C. 192.168.8.31
D. 192.168.8.63
Answer: A
Explanation:
Explanation/Reference:
The IP address assigned to FA0/1 is 192.168.8.9/29, making 192.168.8.15 the broadcast address.

NEW QUESTION: 4
You are designing a solution based on the lambda architecture.
The solution has the following layers;
* Batch
* Speed
* Serving
You are planning the data ingestion process and the query execution.
For each of the following statements, select Yes if the statement is true. Otherwise, select No.
NOTE: Each correct selection is worth one point.

Answer:
Explanation:

Explanation

Box 1: No
Box 2: No
Output from the batch and speed layers are stored in the serving layer, which responds to ad-hoc queries by returning precomputed views or building views from the processed data.

Box 3: Yes.
We are excited to announce Interactive Queries, a new feature for stream processing with Apache Kafka.
Interactive Queries allows you to get more than just processing from streaming.
Note: Lambda architecture is a popular choice where you see stream data pipelines applied (speed layer).
Architects can combine Apache Kafka or Azure Event Hubs (ingest) with Apache Storm (event processing), Apache HBase (speed layer), Hadoop for storing the master dataset (batch layer), and, finally, Microsoft Power BI for reporting and visualization (serving layer).