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NEW QUESTION: 1
What should a network engineer configure to set high availability for a load balanced virtual server?
A. Session persistence
B. A backup virtual server
C. Load balancing services
D. Load balancing policies
Answer: B

NEW QUESTION: 2
Auditing standards require that the auditor and the client agree on the terms of the engagement. The agreed terms must be in writing and the usual form would be a letter of engagement. Any other form of appropriate contract, however, may be used.
Which of the following is NOT a benefit of an engagement letter in respect of assurance services?
A. Clearly defines the extent of the assurance provider's responsibilities
B. Provides written confirmation of the acceptance of the engagement
C. Certifies the assurance provider's opinion
D. Confirms the scope of the engagement
Answer: C

NEW QUESTION: 3
MJTelco Case Study
Company Overview
MJTelco is a startup that plans to build networks in rapidly growing, underserved markets around the world.
The company has patents for innovative optical communications hardware. Based on these patents, they can create many reliable, high-speed backbone links with inexpensive hardware.
Company Background
Founded by experienced telecom executives, MJTelco uses technologies originally developed to overcome communications challenges in space. Fundamental to their operation, they need to create a distributed data infrastructure that drives real-time analysis and incorporates machine learning to continuously optimize their topologies. Because their hardware is inexpensive, they plan to overdeploy the network allowing them to account for the impact of dynamic regional politics on location availability and cost.
Their management and operations teams are situated all around the globe creating many-to-many relationship between data consumers and provides in their system. After careful consideration, they decided public cloud is the perfect environment to support their needs.
Solution Concept
MJTelco is running a successful proof-of-concept (PoC) project in its labs. They have two primary needs:
* Scale and harden their PoC to support significantly more data flows generated when they ramp to more than 50,000 installations.
* Refine their machine-learning cycles to verify and improve the dynamic models they use to control topology definition.
MJTelco will also use three separate operating environments - development/test, staging, and production - to meet the needs of running experiments, deploying new features, and serving production customers.
Business Requirements
* Scale up their production environment with minimal cost, instantiating resources when and where needed in an unpredictable, distributed telecom user community.
* Ensure security of their proprietary data to protect their leading-edge machine learning and analysis.
* Provide reliable and timely access to data for analysis from distributed research workers
* Maintain isolated environments that support rapid iteration of their machine-learning models without affecting their customers.
Technical Requirements
Ensure secure and efficient transport and storage of telemetry data
Rapidly scale instances to support between 10,000 and 100,000 data providers with multiple flows each.
Allow analysis and presentation against data tables tracking up to 2 years of data storing approximately 100m records/day Support rapid iteration of monitoring infrastructure focused on awareness of data pipeline problems both in telemetry flows and in production learning cycles.
CEO Statement
Our business model relies on our patents, analytics and dynamic machine learning. Our inexpensive hardware is organized to be highly reliable, which gives us cost advantages. We need to quickly stabilize our large distributed data pipelines to meet our reliability and capacity commitments.
CTO Statement
Our public cloud services must operate as advertised. We need resources that scale and keep our data secure.
We also need environments in which our data scientists can carefully study and quickly adapt our models.
Because we rely on automation to process our data, we also need our development and test environments to work as we iterate.
CFO Statement
The project is too large for us to maintain the hardware and software required for the data and analysis. Also, we cannot afford to staff an operations team to monitor so many data feeds, so we will rely on automation and infrastructure. Google Cloud's machine learning will allow our quantitative researchers to work on our high-value problems instead of problems with our data pipelines.
MJTelco is building a custom interface to share data. They have these requirements:
* They need to do aggregations over their petabyte-scale datasets.
* They need to scan specific time range rows with a very fast response time (milliseconds).
Which combination of Google Cloud Platform products should you recommend?
A. Cloud Bigtable and Cloud SQL
B. Cloud Datastore and Cloud Bigtable
C. BigQuery and Cloud Bigtable
D. BigQuery and Cloud Storage
Answer: C

NEW QUESTION: 4
You configure the nodes to use the port rule shown in the exhibit. (Click the Exhibit button.)

You need to configure the NLB cluster to meet the following requirements:
HTTPS connections must be directed to Server1 if Server1 is available.

HTTP connections must be load balanced between the two nodes.

Which three actions should you perform? {Each correct answer presents part of the solution. Choose three.
A. Create a port rule for TCP port 80. Set the Filtering mode to Multiple host and set the Affinity to None.
B. From the host properties of Server1, set the Handling priority of the existing port rule to 1.
C. From the host properties of Server2, set the Handling priority of the existing port rule to 2.
D. From the host properties of Server1, set the Handling priority of the existing port rule to 2.
E. Create an additional port rule for TCP port 443. Set the Filtering mode to Multiple host and set the Affinity to Single.
F. From the host properties of Server2, set the Priority (Unique host ID) value to 1.
Answer: A,B,C
Explanation:
Section: Volume C
Explanation/Reference:
Explanation:
Multiple hosts. This parameter specifies that multiple hosts in the cluster handle network traffic for the associated port rule. This filtering mode provides scaled performance in addition to fault tolerance by distributing the network load among multiple hosts. You can specify that the load be equally distributed among the hosts or that each host handle a specified load weight.
Note: Handling priority: When Single host filtering mode is being used, this parameter specifies the local host's priority for handling the networking traffic for the associated port rule. The host with the highest handling priority (lowest numerical value) for this rule among the current members of the cluster will handle all of the traffic for this rule. The allowed values range from 1, the highest priority, to the maximum number of hosts allowed (32). This value must be unique for all hosts in the cluster.
Reference: Network Load Balancing parameters.