00:00

QUESTION 6

The built-in Kubernetes Navigator includes which of the following?

Correct Answer: D
The correct answer is D. Map, Nodes, Workloads, Node Detail, Workload Detail, Pod Detail, Container Detail.
The built-in Kubernetes Navigator is a feature of Splunk Observability Cloud that provides a
comprehensive and intuitive way to monitor the performance and health of Kubernetes environments. It includes the following views:
✑ Map: A graphical representation of the Kubernetes cluster topology, showing the
relationships and dependencies among nodes, pods, containers, and services. You can use the map to quickly identify and troubleshoot issues in your cluster1
✑ Nodes: A tabular view of all the nodes in your cluster, showing key metrics such as
CPU utilization, memory usage, disk usage, and network traffic. You can use the nodes view to compare and analyze the performance of different nodes1
✑ Workloads: A tabular view of all the workloads in your cluster, showing key metrics
such as CPU utilization, memory usage, network traffic, and error rate. You can use the workloads view to compare and analyze the performance of different workloads, such as deployments, stateful sets, daemon sets, or jobs1
✑ Node Detail: A detailed view of a specific node in your cluster, showing key metrics
and charts for CPU utilization, memory usage, disk usage, network traffic, and pod count. You can also see the list of pods running on the node and their status. You can use the node detail view to drill down into the performance of a single node2
✑ Workload Detail: A detailed view of a specific workload in your cluster, showing
key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and pod count. You can also see the list of pods belonging to the workload and their status. You can use the workload detail view to drill down into the performance of a single workload2
✑ Pod Detail: A detailed view of a specific pod in your cluster, showing key metrics
and charts for CPU utilization, memory usage, network traffic, error rate, and container count. You can also see the list of containers within the pod and their status. You can use the pod detail view to drill down into the performance of a single pod2
✑ Container Detail: A detailed view of a specific container in your cluster, showing
key metrics and charts for CPU utilization, memory usage, network traffic, error rate, and log events. You can use the container detail view to drill down into the performance of a single container2
To learn more about how to use Kubernetes Navigator in Splunk Observability Cloud, you can refer to this documentation3.
1: https://docs.splunk.com/observability/infrastructure/monitor/k8s-nav.html#Kubernetes-
Navigator 2: https://docs.splunk.com/observability/infrastructure/monitor/k8s-
nav.html#Detail-pages 3: https://docs.splunk.com/observability/infrastructure/monitor/k8s- nav.html

QUESTION 7

Which of the following are correct ports for the specified components in the OpenTelemetry Collector?

Correct Answer: D
The correct answer is D. gRPC (4317), SignalFx (9080), Fluentd (8006). According to the web search results, these are the default ports for the corresponding components in the OpenTelemetry Collector. You can verify this by looking at the table of
exposed ports and endpoints in the first result1. You can also see the agent and gateway configuration files in the same result for more details.
1: https://docs.splunk.com/observability/gdi/opentelemetry/exposed-endpoints.html

QUESTION 8

Which of the following aggregate analytic functions will allow a user to see the highest or lowest n values of a metric?

Correct Answer: D
The correct answer is D. Top / Bottom.
Top and bottom are aggregate analytic functions that allow a user to see the highest or lowest n values of a metric. They can be used to select a subset of the time series in the plot by count or by percent. For example, top (5) will show the five time series with the highest values in each time period, while bottom (10%) will show the 10% of time series with the lowest values in each time period1
To learn more about how to use top and bottom functions in Splunk Observability Cloud, you can refer to this documentation1.

QUESTION 9

Which of the following rollups will display the time delta between a datapoint being sent and a datapoint being received?

Correct Answer: C
According to the Splunk Observability Cloud documentation1, lag is a rollup function that returns the difference between the most recent and the previous data point values seen in the metric time series reporting interval. This can be used to measure the time delta between a data point being sent and a data point being received, as long as the data points have timestamps that reflect their send and receive times. For example, if a data point is sent at 10:00:00 and received at 10:00:05, the lag value for that data point is 5 seconds.

QUESTION 10

When creating a standalone detector, individual rules in it are labeled according to severity. Which of the choices below represents the possible severity levels that can be selected?

Correct Answer: C
The correct answer is C. Info, Warning, Minor, Major, and Critical.
When creating a standalone detector, you can define one or more rules that specify the alert conditions and the severity level for each rule. The severity level indicates how urgent or important the alert is, and it can also affect the notification settings and the escalation policy for the alert1
Splunk Observability Cloud provides five predefined severity levels that you can choose from when creating a rule: Info, Warning, Minor, Major, and Critical. Each severity level has a different color and icon to help you identify the alert status at a glance. You can also customize the severity levels by changing their names, colors, or icons2
To learn more about how to create standalone detectors and use severity levels in Splunk Observability Cloud, you can refer to these documentations12.
1: https://docs.splunk.com/Observability/alerts-detectors-
notifications/detectors.html#Create-a-standalone-detector 2: https://docs.splunk.com/Observability/alerts-detectors-notifications/detector- options.html#Severity-levels