NEW 2024 Certification Sample Questions 1z0-1111-23 Dumps & Practice Exam
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Oracle 1z0-1111-23 Exam Syllabus Topics:
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NEW QUESTION # 36
Which Machine Learning based visualization is helpful in analyzing extremely large vol-umes of log records by grouping them based on their shape?
- A. Summary Table
- B. Word Cloud
- C. Cluster
Answer: C
Explanation:
Explanation
The Machine Learning based visualization that is helpful in analyzing extremely large volumes of log records by grouping them based on their shape is Cluster. Cluster is a feature of Logging Analytics that uses machine learning algorithms to group log records into clusters based on their similarity or dissimilarity. Cluster can help you reduce noise, identify patterns, detect anomalies, and troubleshoot issues from your log data.
NEW QUESTION # 37
Which of the following feature of Logging Analytics is used for identifying and tagging the problem logs during ingestion time?
- A. Entity Type
- B. Log Origin
- C. Extended Fields
- D. Labels
Answer: D
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 # 38
What are two examples of a Stack Monitoring deployment model? (Choose two.)
- A. Resources running on OCI compute instances
- B. Resources running on a network appliance
- C. Resources running on-premises
- D. Resources running on Management gateway
Answer: A,C
Explanation:
Explanation
Two examples of a Stack Monitoring deployment model are:
* Resources running on OCI compute instances. Stack Monitoring can monitor resources that are running on OCI compute instances, such as web servers, containers, or functions. Stack Monitoring can discover these resources using Management Agents or Functions Discovery Service.
* Resources running on-premises. Stack Monitoring can also monitor resources that are running on-premises, such as databases or applications. Stack Monitoring can discover these resources using Enterprise Manager Bridge or Management Agents.
NEW QUESTION # 39
Which statement is NOT valid about creating an alarm query in Oracle Cloud Infrastructure (OCI) Monitoring?
- A. You must specify a metric.
- B. You must specify a statistic.
- C. You must specify a resource group.
- D. You must specify an interval.
Answer: C
Explanation:
Explanation
A valid statement about creating an alarm query in OCI Monitoring is that you must specify a resource group.
A resource group is an optional feature that allows you to group metrics by certain attributes or tags. By specifying a resource group in your alarm query, you can filter out the metrics that belong to different resource groups and focus on the ones that are relevant for your alarm condition.
NEW QUESTION # 40
You are part of a team that manages a set of workload instances running in an on-premises environment. The Architect team is tasked with designing and configuring Oracle Cloud Infrastructure (OCI) Logging service to collect logs fromthese instances. There is a requirement to archive Info-level logging data of these instances into the OCI Object Storage. Which TWO features of OCI can help you achieve this? (Choose two.)
- A. Agent Configuration
- B. Cloud Agent Plugin Grouping Function
- C. ObjectCollection Rule
- D. Service Connectors
Answer: C,D
Explanation:
Explanation
Two features of OCI that can help you archive Info-level logging data of these instances into the OCI Object Storage are:
* Service Connectors. Service Connectors are components of Service Connector Hub that enable data movement between OCI services. You can create a service connector that has Logging as the source service and Object Storage as thetarget service. You can also specify filters to select only the Info-level logs from your instances.
* 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. For more information, see [Service Connector Hub Overview] and [ObjectCollection Rule].
NEW QUESTION # 41
Which of the following statement is NOTIvalid regarding Management Agent Cloud Service?
- A. Management Agent Cloud Service allows OCI services to collect data from on-premises and cloud assets, except that it can only transport data into AWS or GCS.
- B. Management Agent Cloud Service transport customer data to Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI.
- C. Management Agent Cloud service enables on demand execution of operations against monitored resources.
- D. Management Agent Cloud Service is self monitored.
Answer: A
Explanation:
Explanation
A valid statement regarding Management Agent Cloud Service is that Management Agent Cloud Service allows OCI services to collect data from on-premises and cloud assets, and transport data into OCI services, such as Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI. Management Agent Cloud Service does not support transporting data into AWS or GCS.
NEW QUESTION # 42
Which TWO are examples of data telemetry sources of Operations Insights? (Choose two.)
- A. Management Agent
- B. OCI Functions
- C. Enterprise Manager
- D. DOCI streams
Answer: A,C
Explanation:
Explanation
Two examples of data telemetry sources of Operations Insights are:
* Enterprise Manager. Enterprise Manager is an on-premises tool that provides comprehensive management and monitoring of Oracle databases and applications. Enterprise Manager can send operational data, such as performance metrics, configuration data, and SQL data, to Operations Insights for analysis and optimization.
* 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 Operations Insights. Management Agent can collect data from various sources, such as databases, hosts, or applications.
NEW QUESTION # 43
Which pillars of Observability are available as a single view from the Dashboard?
- A. Logging Analytics, Database Management, Stack Monitoring
- B. Logs, Metrics, and Traces
- C. Log data, Query language, Dashboard widgets
- D. Compute, Storage, and Network
Answer: B
Explanation:
Explanation
The pillars of Observability are Logs, Metrics, and Traces. Logs are records of events that occur in your system or application. Metrics are numerical measurements that describe the behavior and performance of your system or application. Traces are collections of spans that represent a single user request or transaction across different services and components. You can use Dashboard to create a single view that shows logs, metrics, and traces from various sources in one place.
NEW QUESTION # 44
Which TWO components are optional while crihating the Monitoring Query Language (MQL) expressions in the Oracle Cloud Infrastructure (OCI) Monitoring service? (Choose two.)
- A. Grouping Function
- B. Statistic
- C. Interval
- D. Previous
- E. Dimensions
- F. Metric
Answer: A,B
Explanation:
Explanation
Two components that are optional while creating MQL expressions in OCI Monitoring service are Grouping Function and Statistic. MQL expressions are queries that specify how to retrieve and process metric data from OCI Monitoring service. MQL expressions consist of various components, such as metric name, dimensions, filters, functions, operators, or constants. Some components are mandatory while others are optional depending on your use case. Grouping Function is an optional component that specifies how to aggregate metric data across different metric streams based on certain attributes or tags. Statistic is an optional component that specifies how to summarize metric data within each time window based on certain calculations or methods.
NEW QUESTION # 45
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 # 46
What two APM agents can Application Performance Monitoring use to collect data? (Choose two.)
- A. Browser Agent
- B. Management Agent
- C. Java Agent
- D. Cloud Agent
Answer: A,C
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 # 47
You are part of the Cloud Security operations of an organization with thousands of users accessing Oracle Cloud Infrastructure (OCI). It is reported that an unknown user action was executed resulting in configuration errors. You are tasked with identifying the details of all users who were active in the last six hours along with any REST API calls that were executed. Which OCI feature should you use?
- A. Management Agent Log Ingestion
- B. Audit Analysis Dashboard
- C. ObjectCollectionRule
- D. Service Connector Hub
Answer: B
Explanation:
Explanation
To quickly identify the details of all users who were active in the last six hours along with any REST API calls that were executed, you can use Audit Analysis Dashboard. Audit Analysis Dashboard is a feature of Audit service that provides a graphical representation of audit events and trends. You can use Audit Analysis Dashboard to view charts and tables that show various metrics and dimensions of audit events, such as user activity, resource activity, operation types, or error codes.
NEW QUESTION # 48
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)
- A. Forecast Capacity issue of Oracle Databases in On-Premises, OCI and Multi-Cloud environment
- B. Forecast Capacity issues of your Database services in OCI
- C. Analyze and Tune SQL performance issues of Oracle Databases on-premises, OCI and Multi- Cloud environment
- D. Compare Database performance across different time periods or perform real-time monitoring of SQL statements
Answer: C,D
Explanation:
Explanation
Two actions that can be performed using the Database Management Service in OCI are:
* Compare Database performance across different time periods or perform real-time monitoring of SQL statements. Database Management Service provides various tools and dashboards that let you compare and 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.
* Analyze and Tune SQL performance issues of Oracle Databases on-premises, OCI and Multi-Cloud environment. Database Management Service provides various features and functions that let you analyze and tune SQL performance issues of your databases across different environments. You can use SQL Tuning Advisor to get recommendations for improving SQL performance. You can also use SQL Performance Analyzer to compare the performance of SQL statements before and after a change.
NEW QUESTION # 49
Which two features are provided by Application Performance Monitoring? (Choose two.)
- A. Real User Monitoring
- B. Distributed Tracing
- C. Java Management
- D. Capacity Planning
Answer: A,B
Explanation:
Explanation
Application Performance Monitoring provides two features: Distributed Tracing and Real User Monitoring.
Distributed Tracing allows you to monitor and troubleshoot the performance of your microservices applications by tracing the requests across different services and components. Real User Monitoring allows you to measure and improve the user experience of your web applications by capturing and analyzing the real user sessions, page load times, errors, and feedback.
NEW QUESTION # 50
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 # 51
What step must be performed to enable Operations Insights for an Autonomous Database?
- A. Create an Object Storage Bucket for the Database
- B. Configure an OCI Bridge for the Database
- C. Enable Operations Insights for the Database
- D. Install a Management Agent on the Database
Answer: C
Explanation:
Explanation
To enable Operations Insights for an Autonomous Database, you need to enable Operations Insights for the database in the Autonomous Database details page. This will allow you to monitor and analyze the performance, resource utilization, and SQL activity of your Autonomous Database.
NEW QUESTION # 52
What are the TWO SQL Warehouse categories to analyze SQL Performance in Operations Insights? (Choose two.)
- A. Efficient
- B. Climbing
- C. Plan changes
- D. Degraded
Answer: C,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 # 53
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. Logging Query
- B. IAM policy
- C. ObjectCollectionRule
- D. Service Connector
Answer: D
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 # 54
Which is NOT a valid statement regarding the Oracle Cloud Infrastructure (OCI) Audit logs?
- A. Audit logs can be displayed at the Compartment level.
- B. One of the key reasons to view Audit Logs is to collect security related events.
- C. Audit Logs are disabled by default and must be manually enabled for each compartment in your tenancy.
Answer: C
Explanation:
Explanation
A valid statement regarding the OCI Audit logs is that Audit Logs are enabled by default and do not need to be manually enabled for each compartment in your tenancy. Audit Logs are records of the API operations performed on your OCI resources. Audit Logs provide security, compliance, and governance information about your OCI resources. You can view Audit Logs at the compartment level or at the tenancy level.
NEW QUESTION # 55
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 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 - 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 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
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 # 56
Which of the following is required to enable Stack Monitoring?
- A. Dynamic group for discovery service
- B. Machine Learning group for resource associations
- C. User group for VNC collection
Answer: A
Explanation:
Explanation
The required step to enable Stack Monitoring is to create a dynamic group for discovery service. A dynamic group is a group of OCI resources that match certain rules or criteria. You need to create a dynamic group for discovery service to allow Stack Monitoring to discover and monitor the resources in your stack. You also need to attach a policy to the dynamic group that grants the required permissions for Stack Monitoring.
NEW QUESTION # 57
Which Machine Learning based visualization is helpful in analyzing extremely large vol-umes of log records by grouping them based on their shape?
- A. Summary Table
- B. Word Cloud
- C. Cluster
Answer: C
Explanation:
Explanation
The Machine Learning based visualization that is helpful in analyzing extremely large volumes of log records by grouping them based on their shape is Cluster. Cluster is a feature of Logging Analytics that uses machine learning algorithms to group log records into clusters based on their similarity or dissimilarity. Cluster can help you reduce noise, identify patterns, detect anomalies, and troubleshoot issues from your log data.
NEW QUESTION # 58
What are the TWO features that are available for an Autonomous Database that is enabled with Database Management? (Choose two.)
- A. Number of queued and running SQL statements
- B. View average active session by CPU, I/O and wait depending on the deployment type
- C. Monitor and analyze optimizer statistics advisor tasks and implement recommendations
- D. Generate AWR report for selected time period
Answer: C,D
Explanation:
Explanation
Two features that are available for an Autonomous Database that is enabled with Database Management are:
* Monitor and analyze optimizer statistics advisor tasks and implement recommendations. Database Management provides a feature called OptimizerStatistics Advisor that analyzes the optimizer statistics collection tasks on your Autonomous Database and provides recommendations for improving performance and efficiency. You can use Database Management to monitor and analyze the advisor tasks and implement the recommendations.
* Generate AWR report for selected time period. Database Management also provides a feature called Automatic Workload Repository (AWR) Report that generates a report of the performance statistics and workload information of your Autonomous Database for a selected time period. You can use Database Management to generate AWR reports and view them in HTML or text format.
NEW QUESTION # 59
Choose two FluentD scenarios that apply when using continuous Log Collection with cli-ent-side processing.?
(Choose two.)
- A. Monitoring systems that are not currently supported by Management agent
- B. Comprehensive monitoring for OKE/Kubernetes
- C. Managing apps/services which push logs to Object Storage
- D. Log Source
Answer: A,B
Explanation:
Explanation
Two FluentD scenarios that apply when using continuous Log Collection with client-side processing are:
* Managing apps/services which push logs to Object Storage. FluentD is an open source data collector that can collect and process log data from various sources. You can use FluentD to manage apps/services that push logs to Object Storage, such as Oracle Functions or Kubernetes. You can configure FluentD to read logsfrom Object Storage buckets and send them to Logging Service or Logging Analytics for analysis.
* Comprehensive monitoring for OKE/Kubernetes. FluentD is also a popular choice for monitoring Kubernetes clusters, such as Oracle Container Engine for Kubernetes (OKE). You can use FluentD to collect and process logs from Kubernetes pods, containers, and nodes, and send them to Logging
* Service or Logging Analytics for analysis.
NEW QUESTION # 60
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