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Oracle 1z0-1111-23 Exam Syllabus Topics:
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NEW QUESTION # 11
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. Oracle section
- B. Source Section
- C. Data section
- D. Unified Envelope
Answer: D
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 # 12
Which of the following statement is NOTIvalid regarding Management Agent Cloud Service?
- A. Management Agent Cloud Service is self monitored.
- B. Management Agent Cloud service enables on demand execution of operations against monitored resources.
- C. 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.
- D. Management Agent Cloud Service transport customer data to Logging Analytics, OCI Monitoring, or even a custom endpoint hosted in OCI.
Answer: C
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 # 13
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. Check the OCI Identity and Access Management (IAM) policy and re-run the query.
- B. Increase the query limits and the number of streams by specifying dimensions.
- C. Reduce the query and limit the number of streams by specifying dimensions.
- D. Ignore the error because aggregating multiple metric streams is not supported.
Answer: C
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 # 14
What are the TWO benefits of Observability Lakehouse in Operations Insights? (Choose two.)
- A. Enables custom analytics such as trending, forecasting, capacity planning, workload characterizations
- B. Identifies future resource usage Oracle Cloud
- C. Provides data based on a statistical analysis of AI data
- D. Allows Oracle Enterprise Manager's operations data for various use-cases
Answer: A,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 # 15
Which are the different data sources from where the Application Performance Monitoring (APM) Java agent can collect spans and metrics data?
- A. NginX
- B. WebLogic, Tomcat, or JBoss
- C. VMware ESXi
- D. Jaeger or Zipkin
Answer: D
Explanation:
Explanation
The data sources from where the APM Java agent can collect spans and metrics data are Jaeger or Zipkin.
Jaeger and Zipkin are open source distributed tracing systems that provide end-to-end visibility into complex transactions across multiple services and components. The APM Java agent can collect spans and metrics data from Jaeger or Zipkin compatible applications and send them to APM for analysis and visualization.
NEW QUESTION # 16
Which TWO future resource usages are identified by Exadata Warehouse insights custom analytics under Operations Insights? (Choose two.)
- A. Network usage
- B. CPU
- C. Memory
- D. AIOps
Answer: B,C
Explanation:
Explanation
Two future resource usages that are identified by Exadata Warehouse insights custom analytics under Operations Insights are Memory and CPU. Exadata Warehouse insights custom analytics is a feature of Operations Insights that provides advanced analytics and visualization of Exadata performance data. You can use Exadata Warehouse insights custom analytics to create scenarios based on historical trends, growth rates, and what-if analysis. You can also use Exadata Warehouse insights custom analytics to forecast future resource usages, such as Memory or CPU, and plan capacity for your Exadata systems.
NEW QUESTION # 17
You are working on a project to automate the deployment of Oracle Cloud Infrastructure (OCI) compute instances that are pre-configured with web services. As part of the deployment workflow, you also need to create a corresponding OCI object storage bucket bearing the same name as that of the compute instance.
Which of these TWO options can help you achieve this requirement? (Choose two.)
- A. Service Connector Hub
- B. Events Service
- C. Cloud Agent Plugin for the compute instance
- D. OCI CLI command, ocios bucket create auto
- E. Oracle Functions
Answer: A,E
Explanation:
Explanation
To create a corresponding OCI object storage bucket bearing the same name as that of the compute instance, you can use Oracle Functions and Service Connector Hub. Oracle Functions is a serverless platform that lets you create and run functions that respond to events. Service Connector Hub is a cloud message bus platform that lets you move data between OCI services. You can create a service connector that has Events as the source service and Functions as the target service. You can also specify a filter to select only the events related to compute instance creation (com.oraclecloud.computeapi.launchinstance.end). The function can then create an object storage bucket with the same name as the compute instance.
NEW QUESTION # 18
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 # 19
Which two features are provided by Application Performance Monitoring? (Choose two.)
- A. Distributed Tracing
- B. Capacity Planning
- C. Java Management
- D. Real User Monitoring
Answer: A,D
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 # 20
How does Application Performance Monitoring track all related spans for a single user request?
- A. Using Application Name
- B. Using Trace ID
- C. Using User ID
Answer: B
Explanation:
Explanation
Application Performance Monitoring tracks all related spans for a single user request using Trace ID. A trace is a collection of spans that represent a single user request or transaction. A span is a unit of work within a trace, such as an HTTP request or a database query. Each trace has a unique Trace ID that identifies it across different services and components. You can use Trace ID to search and analyze traces in Application Performance Monitoring. For more information, see Traces and Spans.
NEW QUESTION # 21
Which TWO components are optional while crihating the Monitoring Query Language (MQL) expressions in the Oracle Cloud Infrastructure (OCI) Monitoring service? (Choose two.)
- A. Metric
- B. Statistic
- C. Previous
- D. Interval
- E. Dimensions
- F. Grouping Function
Answer: B,F
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 # 22
What happens in Stack Monitoring after Management agents are set up and resources are discovered?
- A. Management agents discover resources that are running locally on the instance
- B. Alarm rules will trigger when resources are down or performance thresholds are crossed.
- C. Metric data is immediately collected
- D. OCI Notifications send email notifications
Answer: C
Explanation:
Explanation
After Management agents are set up and resources are discovered, metric data is immediately collected.
Management agents are lightweight processes that collect and send metric data from your resources to OCI services, such as Monitoring, Logging, or Stack Monitoring. Once the resources are discovered by the discovery service, the metric data is immediately collected and available for monitoring and analysis.
NEW QUESTION # 23
Which is the recommended method to continuously monitor and ingest logs from Object Storage buckets?
- A. Object Storage
- B. Object Collection Rule
- C. Object Store Bucket
- D. Object Store
Answer: B
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 # 24
Which are the TWO components that the Management Agent solution includes in the Cloud service? (Choose two.)
- A. Management Gateway
- B. Management Agent
- C. OCI Logging Analytics
- D. Cloud assets
Answer: A,B
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 # 25
Which response contains rich information to process for analytics?
- A. Logging Analytic Entities
- B. Entity types
- C. Log Sources
- D. Database Audit Logs
Answer: D
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 # 26
Your on-premises private cloud environment consists of virtual machines hosting a set of application servers.
These VMs are currently monitored using a 3rd party monitoring tool for resource metrics such as CPU and Memory utilization. You have created an automation work-flow to transform these application servers into Oracle Cloud Infrastructure (OCI) which will deploy a set of new compute instances. There are a few requirements to consider while running this task: * Ensure continuous monitoring is enabled, so the current monitored resource metrics are continuously collected and reported. * Monitor the completion of Compute In-stance deployment during the workflow and notify with email on each execution. Notify with email for any new OCI Object Storage buckets created after the migration workflow. What solution would you recommend to achieve these requirements?
- A. Configure OCI Compute agent on on-premises VMs and OCI compute instances to collect required resource metrics. Use OCI Events service to track the end-to-end deployment process (com.oraclecloud.compute api.launchinstance.end) and creation of new bucket (com.oraclecloud.objectstorage.createbucket). Use OCI Notifications and Events services to notify these changes.
- B. Configure OCI Compute agent on on-premises VMs to collect required resource met-rics. Use OCI Events service to track all deployments (com.oraclecloud.computeapi.launchinstance.end) with OCI Notifications service to track and report all changes occurring in the target environment.
- C. Configure OCI Compute agent on OCI compute instances to collect required resource metrics. Use OCI Events and Functions services to track the Instance deployment (com.oraclecloud.computeapi.launchinstance.end) and creation of new buckets (com.oraclecloud.objectstorage.createbucket). Use OCI Notifications and Events service to notify these changes.
- D. Configure both 3rd party monitoring tool and OCI Compute Agent on OCI compute instances to collect required resource metrics. Use OCI Events service (com.oraclecloud.computeapi.launchinstance.end) with Notifications service to track and notify all changes occurring in the target OCI environment.
Answer: A
Explanation:
Explanation
To ensure continuous monitoring of both on-premises VMs and OCI compute instances, you need to configure OCI Compute agent on both sources to collect the required resource metrics. The OCI Compute agent is a lightweight process that monitors the host and the processes running on the host. You can use OCI Events service to track the end-to-end deployment process (com.oraclecloud.computeapi.launchinstance.end) and creation of new buckets (com.oraclecloud.objectstorage.createbucket) in your target environment. You can use OCI Notifications and Events services to notify these changes via email or other supported protocols.
NEW QUESTION # 27
Which is one of the primary use case for the circleCloud Infrastructure (OCI) Observabilityand Management (O&M) Logging Analytics service?
- A. Create OCI resources automatically based on log events and reports
- B. Monitor, aggregate, index, and analyze log data
- C. Centralize and relocate any log based on a subscription model
Answer: B
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 # 28
Which TWO actions can be performed using the Database Management Service in Oracle Cloud Infrastructure (OCI)? (Choose two.)
- A. Analyze and Tune SQL performance issues of Oracle Databases on-premises, OCI and Multi- Cloud environment
- B. Compare Database performance across different time periods or perform real-time monitoring of SQL statements
- C. Forecast Capacity issue of Oracle Databases in On-Premises, OCI and Multi-Cloud environment
- D. Forecast Capacity issues of your Database services in OCI
Answer: A,B
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 # 29
Why do dedicated Vantage points matter? Select two reasons that apply.? (Choose two.)
- A. Test internal customer applications
- B. Applications on-premise or secured network can be tested from a public Vantage Point
- C. Test Deployment Manager and Scheduler
- D. Applications on-premise or on secured network cannot be tested from a public Vantage Point
Answer: A,D
Explanation:
Explanation
Two reasons why dedicated Vantage points matter are:
* Test internal customer applications. Dedicated Vantage points are private Vantage points that you can deploy in your own network or cloud environment. Dedicated Vantage points allow you to test internal customer applications that are not accessible from the public internet, such as intranet applications or applications behind a firewall.
* Applications on-premise or on secured network cannot be tested from a public Vantage Point. Public Vantage points are Vantage points that are hosted and managed by Oracle in various regions around the world. Public Vantage points allow you to test external customer applications that are accessible from the public internet, such as web applications or APIs. However, public Vantage points cannot test applications that are on-premise or on secured network, as they do not have access to those environments.
NEW QUESTION # 30
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