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NEW QUESTION: 1
A network engineer must configure a Cisco IOS XR router with BGP dampening. Which configuration meets these parameters?
A. router bgp 60 address-family ipv4 unicast bgp dampening
B. route-policy dampening_specific drop ! router bgp 60 address-family ipv4 unicast bgp dampening route-policy dampening_specific
C. router bgp 60 bgp dampening
D. router bgp 60 address-family ipv4 bgp dampening
E. router bgp 60 neighbor 10.0.0.2 bgp dampening
Answer: A

NEW QUESTION: 2
Flowlogistic is rolling out their real-time inventory tracking system. The tracking devices will all send package-tracking messages, which will now go to a single Google Cloud Pub/Sub topic instead of the Apache Kafka cluster. A subscriber application will then process the messages for real-time reporting and store them in Google BigQuery for historical analysis. You want to ensure the package data can be analyzed over time.
Which approach should you take?
A. Attach the timestamp on each message in the Cloud Pub/Sub subscriber application as they are received.
B. Attach the timestamp and Package ID on the outbound message from each publisher device as they are sent to Clod Pub/Sub.
C. Use the automatically generated timestamp from Cloud Pub/Sub to order the data.
D. Use the NOW () function in BigQuery to record the event's time.
Answer: B
Explanation:
Topic 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.

NEW QUESTION: 3
会社は毎月初めに売上レポートを作成する必要があります。レポート作成プロセスでは、月の最初に20個のAmazon EC2インスタンスが起動されます。プロセスは7日間実行され、中断することはできません。同社はコストを最小限に抑えたいと考えています。
会社はどの価格モデルを選択すべきですか？
A. スケジュールされたリザーブドインスタンス
D18912E1457D5D1DDCBD40AB3BF70D5D
B. スポットブロックインスタンス
C. オンデマンドインスタンス
D. リザーブドインスタンス
Answer: A
Explanation:
Explanation
Scheduled Reserved Instances
Scheduled Reserved Instances (Scheduled Instances) enable you to purchase capacity reservations that recur on a daily, weekly, or monthly basis, with a specified start time and duration, for a one-year term. You reserve the capacity in advance, so that you know it is available when you need it. You pay for the time that the instances are scheduled, even if you do not use them.
Scheduled Instances are a good choice for workloads that do not run continuously, but do run on a regular schedule. For example, you can use Scheduled Instances for an application that runs during business hours or for batch processing that runs at the end of the week.
If you require a capacity reservation on a continuous basis, Reserved Instances might meet your needs and decrease costs.
How Scheduled Instances Work
Amazon EC2 sets aside pools of EC2 instances in each Availability Zone for use as Scheduled Instances. Each pool supports a specific combination of instance type, operating system, and network.
To get started, you must search for an available schedule. You can search across multiple pools or a single pool. After you locate a suitable schedule, purchase it.
You must launch your Scheduled Instances during their scheduled time periods, using a launch configuration that matches the following attributes of the schedule that you purchased: instance type, Availability Zone, network, and platform. When you do so, Amazon EC2 launches EC2 instances on your behalf, based on the specified launch specification. Amazon EC2 must ensure that the EC2 instances have terminated by the end of the current scheduled time period so that the capacity is available for any other Scheduled Instances it is reserved for. Therefore, Amazon EC2 terminates the EC2 instances three minutes before the end of the current scheduled time period.
You can't stop or reboot Scheduled Instances, but you can terminate them manually as needed. If you terminate a Scheduled Instance before its current scheduled time period ends, you can launch it again after a few minutes. Otherwise, you must wait until the next scheduled time period.
The following diagram illustrates the lifecycle of a Scheduled Instance.

https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/ec2-scheduled-instances.html

NEW QUESTION: 4
Refer to the exhibit.

What would be the correct configuration for the ports labeled?
A. vlan 35fcoe vsan 45int eth1/31-32channel-group 15 mode activeint po15switchport access vlan 35int vfc15bind interface po15switchport trunk allowed vsan 45vsan databasevsan 45 interface vfc15
B. int eth1/31channel-group 15 mode activeint eth 1/32channel-group 15 mode activeint po15switchport mode trunkswitchport trunk allowed vsan 45spanning-tree port type edge trunkvsan databasevsan 45 interface po15
C. vlan 35fcoe vsan 35int eth1/31channel-group 15 mode activeint eth 1/32channel-group 15 mode activeint portchannel15switchport mode trunkswitchport trunk allowed vlan 35spanning-tree port type edge trunkint vfc15bind interface po15switchport trunk allowed vsan 35vsan databasevsan 35 interface vfc15
D. vlan 35fcoe vsan 45int eth1/31-32channel-group 15 mode activeint po15switchport mode trunkswitchport trunk allowed vlan 35switchport trunk allowed vsan 45spanning-tree port type edge trunkvsan databasevsan 45 interface po15
E. int eth1/31-32channel-group 15 mode activeint po15switchport mode access vsan 45vsan databasevsan 45 interface po15
Answer: C