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Copy file name to clipboardExpand all lines: learn-pr/philanthropies/describe-best-practices-datacenter-operations/6-reliability-resiliency-datacenters.yml
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- content: Improper datacenter architecture can impact latency. What features reduce queuing and processing times?
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choices:
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- content: Add high-speed connections like fiber-optic cables and optimized routing.
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isCorrect: true
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explanation: Incorrect. While high-speed connections and optimized routing are essential for reducing network latency, they don't directly address queuing and processing times within the datacenter. Queuing and processing times are more influenced by server design, processor performance, and software optimization.
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- content: Implement server designs with high-performance processors, optimize software to minimize processing delays, ensure proper resource allocation.
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explanation: Correct. Implement server designs with high-performance processors, optimize software to minimize processing delays, ensure proper resource allocation.
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- content: Upgrade to faster storage technologies to reduce access times and improve overall data transfer speeds.
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isCorrect: false
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- content: What are the benefits of predictive maintenance in preventing downtime?
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- content: Predictive maintenance is reactive, meaning it's performed when a failure or issue is detected. This type of maintenance involves troubleshooting, identifying the root cause of the problem, and restoring the system to its normal operation.
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explanation: Incorrect. This describes corrective or reactive maintenance, not predictive maintenance. Corrective maintenance is performed after a failure has occurred, focusing on troubleshooting and fixing the issue. Predictive maintenance, on the other hand, aims to predict and prevent failures before they happen using data analytics and machine learning.
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- content: Predictive maintenance is a proactive approach that involves using routine tasks designed to prevent issues before they occur. It's typically scheduled and planned well in advance.
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isCorrect: false
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explanation: Incorrect. This describes preventive maintenance, not predictive maintenance. Preventive maintenance involves routine, scheduled tasks to prevent issues, whereas predictive maintenance uses advanced technologies to predict and address potential failures before they occur.
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- content: Predictive maintenance is a newer and more advanced concept in datacenter maintenance. It uses technology, data analytics, and machine learning to predict potential failures before they occur, allowing for proactive intervention.
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explanation: Correct. Predictive maintenance is a newer and more advanced concept in datacenter maintenance. It uses technology, data analytics, and machine learning to predict potential failures before they occur, allowing for proactive intervention.
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- content: Predictive maintenance refers to the daily, weekly, or monthly operational tasks that keep everything running smoothly, even when no major issues have been identified.
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- Stealth Monitoring: Top Strategies for Enhancing Data Center Security: https://stealthmonitoring.com/video-monitoring/top-strategies-for-enhancing-data-center-security
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- IBM: What is infrastructure monitoring?: https://www.ibm.com/think/topics/infrastructure-monitoring
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- Securetech: Monitoring and Troubleshooting Data Center Networks: https://securetechinstitute.com/monitoring-and-troubleshooting-data-center-networks/
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- Security Journa lAmericas: Data center compliance in a complex regulatory landscape: https://securityjournalamericas.com/data-center-compliance-regulatory/
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- Security Journal Americas: Data center compliance in a complex regulatory landscape: https://securityjournalamericas.com/data-center-compliance-regulatory/
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- Sunbird: Top 10 Data Center KPIs: https://www.sunbirddcim.com/infographic/top-10-data-center-kpis
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- Sunbird: Top 40 Data Center KPIs: https://assets.new.siemens.com/siemens/assets/api/uuid:a963b0d3-b03c-4b6d-91f5-048eee169be9/top-40-data-center-kpis-ebook-sunbird.pdf
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- Enconnex: Data Center Performance Metrics: Understanding the KPIs: https://blog.enconnex.com/data-center-performance-metrics-kpis-examples
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**What are reliability and resiliency in datacenters:**
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**What are reliability and resiliency in datacenters?**
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Reliability and resiliency are critical to datacenter operations, as they ensure consistent and uninterrupted delivery of services.
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**What are the key concepts of disaster recovery?**
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|**Recovery time objective (RTO)**| The maximum acceptable time that systems can be down after a disaster. <br />**Example**: A 4-hour RTO means systems must be operational within 4 hours of an outage.|
|**Recovery time objective (RTO)**| The maximum acceptable time that systems can be down after a disaster. <br />**Example**: A 4-hour RTO means systems must be operational within 4 hours of an outage. |
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|**Recovery point objective (RPO)**| The maximum acceptable amount of data loss, measured in time. <br />**Example**: A 1-hour RPO means no more than 1 hour's worth of data can be lost. |
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|**Disaster recovery plans (DRPs)**| A disaster recovery plan is a documented strategy detailing how to respond to various disaster scenarios. |
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|**Backup and restore**| Backing up data and restoring it after an incident is the foundation of disaster recovery. <br />Types of backups: Full, incremental, differential Backup locations: On-site, off-site, or cloud-based |
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