Dynatrace Study Guide with verified questions and answers

service quality reports (what can I learn from them?) Each (term) summarizes the monitoring insights that dynatrace has compiled over the past week. Each (term) offers an overview of your applications, services, infrastructure utilization, performance problems, and the impact of performance problems on your customers. While Dynatrace itself is an ideal tool for day-to-day monitoring purposes, (term) gives you insights into hot spots in your environment and make it easy to share insights with others. Where to view Service Quality Reports Select Reports from the navigation menu and then click service quality from the left-hand menu. (term) are chronologically arranged, with the most recent report appearing first. Select any report you're interested in to view further details. What do Service Quality Reports address? quality across the entire environment. Therefore, you need to have access to the entire environment to view. Analyzing and persisting the required aggregated data per Management zone isn't possible. What does Service Quality Reports include? Overall Dynatrace Score Application Score Services Score Infrastructure Score Overall Dynatrace Score an average of the application, services, and infrastructure scores for your environment. Application Score based on application Apdex ratings. In brief, the Application score is the average of your application Apdex value and the percentage of user actions that are not affected by problems. Services Score represents the percentage of service calls that were successful and unaffected by problems. Infrastructure Score the percentage of host time during which no problems were encountered. How often are Service Quality Reports generated? each week on Sundays at midnight, so that when you start your work week each Monday morning, you'll find a new report ready for your review. Where to subscribe to Service Quality Reports? Select reports from the navigation menu click a Service quality report to open the report click the browse button (...) Click Subscribe How do I share service quality reports? Select Reports from the navigation menu click a service quality report to open the report click browse button (...) click share to display the sharable link for the report click copy to copy the URL to your clipboard paste the URL into an e-mail to the recipient. When you share a report with a non-Dynatrace user, the user receives a message with a private link that allows them to view the report without logging into Dynatrace. Types of thresholds Automated baselines Built-in static thresholds User-defined static thresholds Automated baselines (multi-dimensional baselining) automatically detects individual reference values that adapt over time. (Term) reference values are used to cope with dynamic changes within your application or service response times, error rates, and load. Built-in static thresholds Dynatrace uses (term) for all infrastructure events (for example, detecting high CPU, low disk space, or low memory) User-defined static thresholds With customizable anomaly detection settings, you can overwrite the default static thresholds for infrastructure events. Where to setup user defined static thresholds Settings Anomaly detection Can you switch from automated baselining for application and service anomaly detection to static thresholds? Yes. With static thresholds, the detected baseline thresholds are overwritten by your custom static thresholds for individual dimensions. Automated baselining learns the typical refrence values for what? Application and service response times, error rates, and load. With regard to response times, Dynatrace collects references for? The median (above which are the slowest 50% of all callers) and the 90th percentile (the slowest 10% of all callers) When is a slowdown event raised? When the typical response times for either the median or the 90th percentiles degrade. What 4 dimensions does application baselining calculate references for? User Action Geolocation Browser OS What does service baselining calculate a reference for? The Service Method dimension (a service's individual service methods - which represents the different SQL statements that are queried) Within what time intervals are baselines evaluated? within 5 minute and 15 minute sliding time intervals When is the baseline cube detected/calculated? two hours after your application is initially detected by Dynatrace OneAgent, so that it can analyze two hours of actual traffic to calculate preliminary reference values and identify where your traffic comes from. At least 20% of the week. How long do applications and services have to run before slowdown and error rate alerts are raised? At least a full week. How long do applications have to run before traffic spike drops and drops alerts are raised? For the median and 90th percentile. What are slowdown events detected for? CPU Saturation (predefined static threshold) Alert if CPU usage is higher than 95% in 3 of 5 one-minute intervals Memory event usage (predefined static threshold) Alert if memory usage is higher than 90% on Windows or 80% on Linux Network utilization (predefined static threshold) Alert if sent/received traffic utilization is higher than 90% in 3 out of 5 one-minute intervals Retransmission rate (predefined static threshold) Alert is retransmission rate is higher than 10% AND number of retransmitted packets is higher than 10 packets/min in 3 out of 5 one-minute intervals Low disk space (predefined static threshold) Alert if free disk space is lower than 3% in 3 out of 5 one-minute intervals When does Dynatrace begin to alert on static thresholds? Immediately begins to alert without a learning period. When are events raised for static thresholds? When threshold breaches occur in the median and 90th percentiles. A full week How long does baselining require to learn daily and weekly patterns for traffic spikes and drops? Data Retention Dynatrace stores and retains different types of monitored data from your environments. Services - distributed trace and code insights (data retention rates)*includes PurePath data 10 days for SaaS Configurable for Managed Storage is proprietary - shared with non-aggregated RUM data Services - requests and request attributes (data retention rates) 35 days for SaaS Configurable for Managed Storage is Proprietary RUM: Non-aggregated user action data (waterfall analysis, JavaScript errors, and crashes) 10 days for SaaS Configurable for Managed Storage is Shared with distributed trace and code service insights RUM: Aggregated user action data (data retention rates) 35 days for SaaS Configurable for Managed 35 days for both SaaS and Managed (data retention rates) RUM: User sessions (data retention rates) RUM: Session Replay (data retention rates) 35 days, depends on disk size, quota configurable per environment for BOTH SaaS and managed 35 days for SaaS Configurable for Managed Synthetic Log Analytics Configurable from 5-90 days. Specific files can be included/excluded (for BOTH SaaS and Managed) Storage is file-based NFS storage;Storage requirements and costs vary by configuration Timeseries metrics (Key user actions and requests) (data retention rates) Unlimited for both SaaS and Managed Services: Requests and request attributes 10 second granularity of charts, non-key and key requests are included in this data rentention rate group. How long does Dynatrace store the full details of every user action (for RUM: non-aggregated user action data)? For 10 days. This enables you to analyze individual user actions and get all details including waterfall analysis, JS errors, and mobile crashes for 10 days. RUM: Aggregated user action data? This data is used in tables like Top User Actions, Top Javascript Errors, and Top mobile crashes. Available for 35 days, though after 10 days user actions data is optimized for aggregated views and some individual user actions become unavailable for individual analysis. The sample set is large enough for statistical correct aggregations, however. RUM: User Sessions Includes Session Replay data. All user session data is stored for 35 days. RUM: Session Replay Minimum size of required session Replay storage volume is entirely load dependent. A maximum size isn't required. In SaaS deployments, a dedicated disk is used for Session Replay Data. In Managed deployments, the Session Replay data storage directory is a dedicated file store that's used exclusively for Session Replay data. Log Analytics enables you to store all logs centrally within external storage. This makes log data available independent of log files themselves. For SaaS customers, where are log files stored? in Amazon Elastic File System in the zone where your Dynatrace environment resides. You don't have to worry about storage performance, availability, or free space. Disk storage costs are included in your Log Analytics subscription. Where are log files stored for Managed customers? centrally on your Dynatrace Managed cluster, you must provide a common Network File System (NFS) mount point (path) that is identical and available from all cluster nodes. With this approach, it's your responsibility to ensure appropriate levels of performance, availability, and free space on the mounted NFS volume. Timeseries metrics (0-14 days) 1-minutes interval granularity available for dashboarding and API access Timeseries metrics (14-28 days) 5-minute interval granularity available for dashboarding and API access Timeseries metrics (28-400 days) 1-hour interval granularity available for dashboarding and API access Timeseries metrics (400+ days) 1-day interval granularity available for dashboarding and API access What is a PurePath? a full end-to-end distributed trace. In contrast to other tracing technologies, these are automaticall caputred by OneAgent. In addition to serice-level traces and response times, they also provide deep code-level insights, which enable method-hotspot analysis, request attributes, request and database analysis, and detailed error analysis. Also one of the core ingredients that enables the Dynatrace AI to perform automatic baselining and root cause anaylsis. Provides the highest level of data granularity and fidelity on the market. 1,000/per minute What is the minimum amount of PurePaths that Dynatrace OneAgent captures every minute - on a standard OneAgent setup? Monitoring & audit logging All systems operated by Dynatrace are subject to health and security monitoring, audit logging, and automated analysis of system logs. When Dynatrace support is requested for remote installations, access to customer systems is recorded by audit logs. Data Encryption All electronic communication sent to and from Dynatrace over HTTPS relies on TLS encryption on port 443. OneAgent and ActiveGate, which are installed on-premise, encrypt all data before they are sent to Dynatrace Server. Metric and transaction data is encrypted even while at rest, and each customer's data is programmatically partitioned from the data of other customers. Settings Preferences Data Privacy To mask the IP addresses of your end users, navigate here and enable 'Mask end-user IP addresses & GPS coordinates. (This is considered a global privacy setting) Global Privacy Settings Environment-wide settings that Dynatrace offers that serve to ensure your compliance with the data-privacy regulations of your region. Mask User Actions This setting only affects RUM for web applications. With this setting enabled, no input data is captured. Instead, generic values are used as the basis for user action names. The two global privacy settings 1. Mask the IP addresses of your end users 2. Mask User Actions Settings Server-side service monitoring Navigate here to find the available settings for detecting and naming web requests, database calls, and custom services. These (global) settings define rules that apply to all services detected in your system. With global service-monitoring settings you can: 1. Define entry points for custom services that don't use standard protocols (Custom Service Detection) 2. Create merged services in order to logically group separately detected services into the same service (merged service monitoring) 3. Customize and enhance the default names of detected services (Service naming rules) 4. Create advanced filters based on request attributes Where do you define individual service settings? Navigation Menu Transactions & Services Select the Service you want to configure on the service overview page, click the browse button (...) select edit What do service-specific monitoring settings enable you to do? 1. Edit the default display names of services and add descriptions to improve tracking 2. Fine tune HTTP error detection rules. 3. Switch off unwanted alerts about response time degradations, failure rate increases, or changes in load behavior. Why don't I see my applications or monitoring data? Confirm that your application's web front-end process is monitored, go to Settings Monitoring overview processes and search for the process. All monitored processes are listed on this page. If you don't see any of your applications or Real User Monitoring data in Dynatrace, the first thing you need to do is confirm that there is traffic in your web front-end processes (web server, Java, N, etc). To do this, interact with one of your applications' pages to generate some traffic. Once you're certain that your web front-end processes have traffic on them, check the following to determine the cause of the problem: 1. Confirm that the RUM JavaScript tag has been correctly injected into your application's HTML. 2. Confirm that the RUM JavaScript tag has downloaded correctly. 3. Confirm that RUM monitoring data is being sent to Dynatrace.