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Practice SPLK-4001 Engine | SPLK-4001 Reliable Exam Blueprint

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Splunk SPLK-4001 exam is designed to validate and certify the proficiency of IT professionals in leveraging Splunk's cloud-based metric platform to deliver top-level observability to their organizations. As the trend shifts towards cloud-based infrastructure for organizations' computing needs, there is a growing demand for professionals who can help businesses achieve proper observability utilizing cloud services. The SPLK-4001 exam is thus essential for tech professionals looking to bolster their careers and stay competitive in the dynamic technology landscape.

Splunk SPLK-4001 Certification Exam covers a broad range of topics, including the basics of metrics, the Splunk Metrics Store, ingesting and querying metrics data, creating and managing alerts, and visualizing metrics data. Splunk O11y Cloud Certified Metrics User certification exam tests the knowledge and skills of candidates in using Splunk software to analyze, troubleshoot, and optimize cloud-based applications.

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The SPLK-4001 Exam is a valuable certification for individuals who want to demonstrate their skills in using Splunk to monitor and analyze metrics in cloud-based environments. By passing the exam, candidates can show that they have the knowledge and expertise to create and manage metric-based monitoring solutions using Splunk. With the help of Splunk's training and resources, candidates can prepare for the exam and take the first step towards becoming a certified Splunk professional.

Splunk O11y Cloud Certified Metrics User Sample Questions (Q18-Q23):

NEW QUESTION # 18
What information is needed to create a detector?

A. Alert Signal, Alert Condition, Alert Settings, Alert Message, Alert Recipients
B. Alert Status, Alert Condition, Alert Settings, Alert Meaning, Alert Recipients
C. Alert Status, Alert Criteria, Alert Settings, Alert Message, Alert Recipients
D. Alert Signal, Alert Criteria, Alert Settings, Alert Message, Alert Recipients

Answer: A

Explanation:
According to the Splunk Observability Cloud documentation1, to create a detector, you need the following information:
Alert Signal: This is the metric or dimension that you want to monitor and alert on. You can select a signal from a chart or a dashboard, or enter a SignalFlow query to define the signal.
Alert Condition: This is the criteria that determines when an alert is triggered or cleared. You can choose from various built-in alert conditions, such as static threshold, dynamic threshold, outlier, missing data, and so on. You can also specify the severity level and the trigger sensitivity for each alert condition.
Alert Settings: This is the configuration that determines how the detector behaves and interacts with other detectors. You can set the detector name, description, resolution, run lag, max delay, and detector rules. You can also enable or disable the detector, and mute or unmute the alerts.
Alert Message: This is the text that appears in the alert notification and event feed. You can customize the alert message with variables, such as signal name, value, condition, severity, and so on. You can also use markdown formatting to enhance the message appearance.
Alert Recipients: This is the list of destinations where you want to send the alert notifications. You can choose from various channels, such as email, Slack, PagerDuty, webhook, and so on. You can also specify the notification frequency and suppression settings.

NEW QUESTION # 19
Which of the following rollups will display the time delta between a datapoint being sent and a datapoint being received?

A. Latency
B. Delay
C. Jitter
D. Lag

Answer: D

Explanation:
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.

NEW QUESTION # 20
What constitutes a single metrics time series (MTS)?

A. A series of timestamps that all reflect the same metric.
B. A set of data points that use different dimensions but the same metric name.
C. A set of data points that all have the same metric name and list of dimensions.
D. A set of metrics that are ordered in series based on timestamp.

Answer: C

Explanation:
Explanation
The correct answer is B. A set of data points that all have the same metric name and list of dimensions.
A metric time series (MTS) is a collection of data points that have the same metric and the same set of dimensions. For example, the following sets of data points are in three separate MTS:
MTS1: Gauge metric cpu.utilization, dimension "hostname": "host1" MTS2: Gauge metric cpu.utilization, dimension "hostname": "host2" MTS3: Gauge metric memory.usage, dimension "hostname": "host1" A metric is a numerical measurement that varies over time, such as CPU utilization or memory usage. A dimension is a key-value pair that provides additional information about the metric, such as the hostname or the location. A data point is a combination of a metric, a dimension, a value, and a timestamp1

NEW QUESTION # 21
What is one reason a user of Splunk Observability Cloud would want to subscribe to an alert?

A. To be able to modify the alert parameters.
B. To receive an email notification when a detector is triggered.
C. To determine the root cause of the Issue triggering the detector.
D. To perform transformations on the data used by the detector.

Answer: B

Explanation:
Explanation
One reason a user of Splunk Observability Cloud would want to subscribe to an alert is C. To receive an email notification when a detector is triggered.
A detector is a component of Splunk Observability Cloud that monitors metrics or events and triggers alerts when certain conditions are met. A user can create and configure detectors to suit their monitoring needs and goals1 A subscription is a way for a user to receive notifications when a detector triggers an alert. A user can subscribe to a detector by entering their email address in the Subscription tab of the detector page. A user can also unsubscribe from a detector at any time2 When a user subscribes to an alert, they will receive an email notification that contains information about the alert, such as the detector name, the alert status, the alert severity, the alert time, and the alert message. The email notification also includes links to view the detector, acknowledge the alert, or unsubscribe from the detector2 To learn more about how to use detectors and subscriptions in Splunk Observability Cloud, you can refer to these documentations12.
1: https://docs.splunk.com/Observability/alerts-detectors-notifications/detectors.html 2:
https://docs.splunk.com/Observability/alerts-detectors-notifications/subscribe-to-detectors.html

NEW QUESTION # 22
What happens when the limit of allowed dimensions is exceeded for an MTS?

A. The datapoint is updated.
B. The additional dimensions are dropped.
C. The datapoint is averaged.
D. The datapoint is dropped.

Answer: B

Explanation:
According to the web search results, dimensions are metadata in the form of key-value pairs that monitoring software sends in along with the metrics. The set of metric time series (MTS) dimensions sent during ingest is used, along with the metric name, to uniquely identify an MTS1. Splunk Observability Cloud has a limit of 36 unique dimensions per MTS2. If the limit of allowed dimensions is exceeded for an MTS, the additional dimensions are dropped and not stored or indexed by Observability Cloud2. This means that the data point is still ingested, but without the extra dimensions. Therefore, option A is correct.

NEW QUESTION # 23
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