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Oracle 1z0-1111-23 Exam Syllabus Topics:
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NEW QUESTION # 22
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)
- A. Provides data based on a statistical analysis of AI data
- B. Identifies future resource usage Oracle Cloud
- C. Allows Oracle Enterprise Manager's operations data for various use-cases
- D. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
Answer: C,D
Explanation:
Explanation
Two benefits of Observability Lakehouse in Operations Insights are:
Allows Oracle Enterprise Manager's operations data for various use-cases. Observability Lakehouse is a data lake that stores and analyzes operational data from different sources, such as Oracle Enterprise Manager, Oracle Cloud Infrastructure, and Autonomous Database. You can use Observability Lakehouse to access and query your operations data for various use-cases, such as performance analysis, capacity planning, anomaly detection, and root cause analysis.
* Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations.
Observability Lakehouse provides a rich set of analytical functions and tools that let you perform custom analytics on your operations data. You can use Observability Lakehouse to create trends, forecasts, capacity plans, workload profiles, and other insights that can help you optimize your operations and performance.
NEW QUESTION # 23
You have been asked to run queries against the OracleCloud Infrastructure (OCI) monitoring data. The data request is an aggregated query. You get the following error: query has exceeded the maximum number of metric streams Which step would you take to run the aggregated query correctly against OCI?
- A. Increase the query limits and the number of streams by specifying dimensions.
- B. Reduce the query and limit the number of streams by specifying dimensions.
- C. Check the OCI Identity and Access Management (IAM) policy and re-run the query.
- D. Ignore the error because aggregating multiple metric streams is not supported.
Answer: B
Explanation:
Explanation
To run the aggregated query correctly against OCI, you need to reduce the query and limit the number of streams by specifying dimensions. Dimensions are key-value pairs that define the characteristics of a metric.
By adding dimensions to your query, you can filter out the irrelevant metric streams and avoid exceeding the maximum number of metric streams. For more information, see Querying Metrics.
NEW QUESTION # 24
Which TWO items describe the capabilities of the Oracle Cloud Infrastructure (OCI) Database Management Service? (Choose two.)
- A. Monitor database performance
- B. Analyze SQL response time across a group of databases
- C. View database log entries
- D. Perform management tasks across a group of databases
Answer: A,D
Explanation:
Explanation
Two items that describe the capabilities of the OCI Database Management Service are:
* Perform management tasks across a group of databases. Database Management Service provides a feature called Database Fleet Management that allows you to perform management tasks across a group of databases in yourtenancy. You can use Database Fleet Management to view and compare the configuration, performance, and security of your databases. You can also use Database Fleet Management to execute SQL commands or scripts on multiple databases at once.
* Monitor database performance. Database Management Service also provides various tools and dashboards that let you monitor the performance of your databases and SQL statements. You can use Performance Hub to view real-time and historical performance data of your databases. You can also use SQL Monitor to view real-time and historical execution details of your SQL statements.
NEW QUESTION # 25
Which step is essential while building a reliable log monitoring environment?
- A. Determination of the Machine Learning models you need to program
- B. Creation of the Key Performance Indicators (KPIs) to monitor
- C. Noise baseline determination
- D. Define permissions for the user roles in the region
Answer: C
Explanation:
Explanation
An essential step while building a reliable log monitoring environment is noise baseline determination. Noise baseline is the level of noise or irrelevant log data that is present in your environment. By determining the noise baseline, you can filter out the noise and focus on the signal or meaningful log data that can help you monitor and troubleshoot your environment. For more information, see Reducing Noise.
NEW QUESTION # 26
Which are the TWO components that the Management Agent solution includes in the Cloud service? (Choose two.)
- A. Management Gateway
- B. Cloud assets
- C. Management Agent
- D. OCI Logging Analytics
Answer: A,C
Explanation:
Explanation
Two components that the Management Agent solution includes in the Cloud service are:
* Management Agent. Management Agent is a lightweight process that collects and sends operational data from your resources to OCI services, such as Monitoring, Logging, or Stack Monitoring. Management Agent can collect data from various sources, such as databases, hosts, or applications.
* Management Gateway. Management Gateway is a component that enables secure communication between Management Agents and OCI services. Management Gateway acts as a proxy that encrypts and forwards data from Management Agents to OCI services.
NEW QUESTION # 27
You need to find the Log Group from a Log line using Oracle Cloud Infrastructure (OCI) Logging Service.
Which section within a Log contains the Log Group's OCID?
- A. Source Section
- B. Unified Envelope
- C. Data section
- D. Oracle section
Answer: B
Explanation:
Explanation
The section within a Log that contains the Log Group's OCID is Unified Envelope. Unified Envelope is a standard format that wraps around any log record collected by Logging Service. Unified Envelope contains metadata about the log record, such as timeCreated, compartmentId, logGroupId, or source. The logGroupId field contains the OCID of the Log Group that the log record belongs to.
NEW QUESTION # 28
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
- A. Management Agent
- B. Browser Agent
- C. Cloud Agent
- D. Java Agent
Answer: B,D
Explanation:
Explanation
Two APM agents that Application Performance Monitoring can use to collect data are Browser Agent and Java Agent. Browser Agent is a JavaScript snippet that can be embedded in web pages to collect Real User Monitoring (RUM) data, such as page load time, network latency, or user interactions. Java Agent is a Java library that can be attached to Java applications to collect Application Performance Monitoring (APM) data, such as traces, spans, metrics, or errors.
NEW QUESTION # 29
How does a user start collecting a specific log for an Entity in Logging Analytics?
- A. Identify Fields to extract
- B. Create an Association of required Log Source with that Entity
- C. Configure a path for the Log File
- D. Enable a Parser for the Log
Answer: B
Explanation:
Explanation
To start collecting a specific log for an Entity in Logging Analytics, you need to create an association of required Log Source with that Entity. An Entity is a logical representation of a resource that can generate log data, such as a host, a database, or an application. A Log Source is a definition of the location, format, and frequency of the log data. An association is a link between an Entity and a Log Source that enables Logging Analytics to collect and parse log data from that Entity.
NEW QUESTION # 30
Which is one of the primary use case for the circleCloud Infrastructure (OCI) Observabilityand Management (O&M) Logging Analytics service?
- A. Monitor, aggregate, index, and analyze log data
- B. Centralize and relocate any log based on a subscription model
- C. Create OCI resources automatically based on log events and reports
Answer: A
Explanation:
Explanation
One of the primary use cases for the OCI Observability and Management (O&M) Logging Analytics service is to monitor, aggregate, index, and analyze log data. Logging Analytics is a feature of O&M that provides a unified platform for managing and analyzing log data from various sources, such as OCI services, on-premises systems, or custom applications. Logging Analytics can help you reduce noise, identify patterns, detect anomalies, and troubleshoot issues from your log data.
NEW QUESTION # 31
You are part of the Cloud Operations team managing thousands of compute instances running in Oracle Cloud Infrastructure (OCI). The OCI Logging Service is configured to collect logs from these instances using a Unified Monitoring Agent. A requirement has been created to archive logging data into OCI Object Storage.
Which OCI capability can help you achieve this requirement?
- A. IAM policy
- B. ObjectCollectionRule
- C. Service Connector
- D. Logging Query
Answer: C
Explanation:
Explanation
To archive logging data into OCI Object Storage, you can use Service Connector Hub, which is a cloud message bus platform that offers a single pane of glass for describing, running, and monitoring interactions when moving data between OCI services. You can create a service connector that has Logging as the source service and Object Storage as the target service. This service connector will automatically move your logging data from Logging to Object Storage based on your configuration.
NEW QUESTION # 32
What are the two items required to create a rule for the Oracle Cloud Infrastructure (OCI) Events Service?
(Choose two.)
- A. Rule Conditions
- B. Management Agent Cloud Service
- C. Install Key
- D. Service Connector
- E. Actions
Answer: A,E
Explanation:
Explanation
Two items required to create a rule for the OCI Events Service are:
* Actions. Actions are the tasks that you want to perform when an event matches your rule condition. For example, you can create an action that sends a notification, invokes a function, or streams an event.
* Rule Conditions. Rule Conditions are the criteria that you use to filter events based on their attributes or patterns. For example, you can create a rule condition that matches events related to instance creation or deletion.
NEW QUESTION # 33
Which response contains rich information to process for analytics?
- A. Database Audit Logs
- B. Log Sources
- C. Entity types
- D. Logging Analytic Entities
Answer: A
Explanation:
Explanation
Database Audit Logs contain rich information to process for analytics, such as user actions, database operations, and security events. Logging Analytics can ingest and analyze these logs to provide insights into the health and performance of your databases.
NEW QUESTION # 34
What is the correct logging CLI syntax for the log search with a query for REST call responses having status code 400, within the web Log Group and the application Log?
- A. oci logging-search search-logs --search-query 'search
"ocidl.compartment.ocl..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz" I where data.statusCode 400'--time-start 2022-02-06T00:00:00Z --time-end 2022-02- 07T00:00:002 - B. oci logging-search search-logs --search-query 'search
"ocidl.compartment.ocl..aaaaaaaawqegmjifhn177bqm625exioavoq775jckfn2syxqtmglabcccdxyz/web/appl
--time-start 2022-02-06T00:00:002-time-end 2022-02-07T00:00:002 - C. oci logging-search search-logs --search-query 'search
"ocidl.compartment.ocl..aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz/web/appli I where data.statusCode = 400'--time-start 2022-02-06T00:00:002 --time-end 2022-02-07T00:00:002 - D. oci log search search-logs --loggroup "web" --log "application" --search-query 'search
"ocidl.compartment.ocl..aaaaaaaawqegmjifhni77bqm625cxioavoy5jckfn2syxqtmglabcccdxyz" where data.statusCode = 400'--time-start 2022-02-06T00:00:00Z --time-end 2022-02- 07T00:00:002
Answer: C
Explanation:
Explanation
The correct logging CLI syntax for the log search with a query for REST call responses having status code
400, within the web Log Group and the application Log is oci logging-search search-logs --search-query
'search
"ocidl.compartment.ocl...aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz/web/applicatio I where data.statusCode = 400'-time-start 2022-02-06T00:00:002 --time-end 2022-02-07T00:00:002. This syntax will search for log records that match the following criteria:
* The log records belong to the compartment with OCID
ocidl.compartment.ocl...aaaaaaaawqegmjifhni77bqm625cxioavoq775jckfn2syxqtmglabcccdxyz
* The log records belong to the web Log Group and the application Log
* The log records have a field called data.statusCode with a value of 400
* The log records are within the time range from 2022-02-06T00:00:002 to 2022-02-07T00:00:002
NEW QUESTION # 35
What is the purpose of using Resolution in a Monitoring Query Language expression?
- A. Resolution controls the total length of each time window
- B. Resolution is used with suppression to pause alarm during system maintenance
- C. Resolution defines the start time of each time window
- D. Resolution automatically resolves the alarm which is Firing state
Answer: A
Explanation:
Explanation
The purpose of using Resolution in a Monitoring Query Language expression is to control the total length of each time window. Resolution is a parameter that specifies how often the query is evaluated and how the metric data is aggregated. For example, a resolution of 1m means that the query is evaluated every minute and the metric data is aggregated into one-minute intervals. Resolution affects the granularity and accuracy of the query results and the alarm condition.
NEW QUESTION # 36
Which is the correct monitoring query that will monitor the CPU utilization threshold including an alarm?
- A. Cpuutilization [Im].max()
- B. CpuUtilization [1m] (shape "VM.Standard.E4.Flex") .max()"
- C. (CpuUtilization[1m] .max()> 80).grouping().sum ()
- D. cpuutilization[1m] .max().grouping().sum()
Answer: C
Explanation:
Explanation
The correct monitoring query that will monitor the CPU utilization threshold including an alarm is (CpuUtilization[1m] .max()> 80).grouping().sum (). This query will return the sum of the maximum CPU utilization values for each metric stream in a one-minute interval, and compare it with the threshold value of
80%. If the sum is greater than 80%, the alarm condition is met and an alarm is triggered.
NEW QUESTION # 37
In Application Performance Monitoring (APM), a distributed tracing user initiates a re-quest through a browser. What is the first span called?
- A. Ajax call
- B. Trace id
- C. Root span
Answer: C
Explanation:
Explanation
In APM, a distributed tracing user initiates a request through a browser. The first span is called the root span.
A root span is the span that represents the entry point of a trace, such as an HTTP request from a browser or a message from a queue. A root span has no parent span and can have zero or more child spans.
NEW QUESTION # 38
Which of the following feature of Logging Analytics is used for identifying and tagging the problem logs during ingestion time?
- A. Log Origin
- B. Entity Type
- C. Labels
- D. Extended Fields
Answer: C
Explanation:
Explanation
Labels are a feature of Logging Analytics that allow you to identify and tag the problem logs during ingestion time. Labels are predefined tags that can be applied to log records based on certain conditions or patterns. For example, you can create a label called "Error" that is applied to any log record that contains the word "error" or "exception". Labels can help you filter, search, and analyze your log data more efficiently.
NEW QUESTION # 39
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?
- A. Object Storage
- B. Object Store Bucket
- C. Object Collection Rule
- D. Object Store
Answer: C
Explanation:
Explanation
The recommended method to continuously monitor and ingest logs from Object Storage buckets is ObjectCollection Rule. ObjectCollection Rule is a feature of Logging Analytics that allows you to collect log data from objects stored in Object Storage buckets. You can create an ObjectCollection Rule that specifies the bucket name, object name pattern, entity type, and log source for your log data.
NEW QUESTION # 40
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
- A. Efficient
- B. Plan changes
- C. Climbing
- D. Degraded
Answer: B,D
Explanation:
Explanation
Two SQL Warehouse categories to analyze SQL Performance in Operations Insights are:
* Plan changes. Plan changes are SQL statements that have experienced a change in their execution plan over time. Plan changes can affect the performance and resource consumption of SQL statements.
* Degraded. Degraded are SQL statements that have experienced a decrease in their performance over time. Degraded SQL statements can cause performance issues and resource contention in your databases.
NEW QUESTION # 41
From the following, select the different metric namespaces used for APM.?
- A. oracle_apm_monitoring namespace, synthetics, and monitoring
- B. RUM metrics, oracle_apm_monitoring, Oracle_apm_synthetic
- C. AjaxDownloadTime, TotalTraceCount, Oracle_pm_rum
- D. oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring.
Answer: D
Explanation:
Explanation
The different metric namespaces used for APM are oracle_apm_rum, oracle_apm_synthetics, and oracle_apm_monitoring. A metric namespace is a unique name that identifies the source of the metrics. For APM, there are three metric namespaces that correspond to the three features of APM: Real User Monitoring (oracle_apm_rum), Synthetic Monitoring (oracle_apm_synthetics), and Application Performance Monitoring (oracle_apm_monitoring). You can use these metric namespaces to query and analyze metrics from APM. For more information, see APM Metrics.
NEW QUESTION # 42
Which TWO resources can be monitored by Stack Monitoring? (Choose two.)
- A. WebLogic Servers
- B. Virtual Cloud Networks
- C. Object Storage Buckets
- D. Oracle External Databases
Answer: A,D
Explanation:
Explanation
Stack Monitoring can monitor Oracle External Databases and WebLogic Servers as resources. Stack Monitoring is a feature of Application Performance Monitoring that allows you to monitor the performance and availability of your entire application stack, including databases, servers, containers, and functions. You can create custom stacks by selecting the resources that you want to monitor and view their metrics, alerts, and topology in a single dashboard. For more information, see Stack Monitoring.
NEW QUESTION # 43
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