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NEW QUESTION: 1
Refer to the exhibit.

A second Cisco Unified Communications Manager server of 10.10.10.101 was added along with the existing Cisco Unified CM server of 10.10.10.100. When Cisco Unified CM 10.10.10.100 is unavailable, the branch gateway fails to register.
Which configuration change is needed to register the gateway to either Cisco Unified CM server?
A. Remove the gatekeeper command because MGCP conflicts with H.323 on the voice gateway.
B. Increase the amount of bandwidth allocated in the low latency queuing for MGCP signaling traffic.
C. Add the command ccm-manager redundant-host 10.10.10.101.
D. Add a voice dial peer to 10.10.10.101.
E. Add the command MGCP.
Answer: C

NEW QUESTION: 2
Case Study: 2 - MJTelco
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. BigQuery and Cloud Bigtable
B. Cloud Datastore and Cloud Bigtable
C. BigQuery and Cloud Storage
D. Cloud Bigtable and Cloud SQL
Answer: A

NEW QUESTION: 3
Ihr Netzwerk enthält eine Active Directory-Domäne mit dem Namen Contoso.com. Die Domäne enthält einen Server mit dem Namen Server1, auf dem Windows Server 2012 R2 ausgeführt wird und auf dem die Hyper-V-Serverrolle installiert ist. Sie haben eine virtuelle Maschine namens VM1. VM1 hat einen Schnappschuss. Sie müssen den Speicherort der Snapshot-Datei von VM1 ändern.
Was solltest du zuerst tun?
A. VM1 anhalten
B. Kopieren Sie die Snapshot-Datei
C. Löschen Sie den Schnappschuss
D. Fahren Sie VM1 herunter
Answer: C
Explanation:
Erläuterung
Snapshot-Datendateien werden als AVHD-Dateien gespeichert. Das Aufnehmen mehrerer Schnappschüsse kann schnell Speicherplatz beanspruchen. In der ersten Release-Version von Hyper-V (KB950050) und in Hyper-V unter Windows Server 2008 Service Pack 2 befinden sich Snapshot- und Snapshot-Datendateien normalerweise im selben Ordner wie die virtuelle Maschine. In Hyper-V unter Windows Server 2008 R2 befinden sich die Dateien normalerweise im selben Ordner wie die virtuelle Festplatte.
Die folgenden Ausnahmen wirken sich auf den Speicherort der Snapshot-Datendateien aus: Wenn die virtuelle Maschine mit Snapshots importiert wurde, werden sie in einem eigenen Ordner gespeichert. Wenn die virtuelle Maschine über keine Snapshots verfügt und Sie die Snapshot-Einstellung für die virtuelle Maschine konfigurieren, werden alle Snapshots, die Sie anschließend aufnehmen, in dem von Ihnen angegebenen Ordner gespeichert.
Vorsicht
Löschen Sie keine .avhd-Dateien direkt vom Speicherort. Verwenden Sie stattdessen Hyper-V Manager, um die virtuelle Maschine auszuwählen, und löschen Sie dann die Snapshots aus der Snapshot-Struktur. Erweitern Sie keine virtuelle Festplatte, wenn diese in einer virtuellen Maschine mit Snapshots verwendet wird. Andernfalls werden die Schnappschüsse unbrauchbar.
http://technet.microsoft.com/en-us/library/dd560637(v=ws.10).aspx