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Oracle 1Z0-1170 Exam Syllabus Topics:

Section	Objectives
Topic 1: Data Preparation and Governance	- Data collection and preprocessing 1. Data ingestion and cleaning 2. Feature preparation and transformation - Data labeling and quality management 1. Dataset quality control 2. Annotation methods and standards
Topic 2: Model Inference, Deployment, and Application	- Application integration and validation 1. Application scenario integration 2. Testing, verification, and release - Inference and service deployment 1. Model inference workflow 2. Cloud, edge, and device deployment
Topic 3: Model Migration, Operator Development, and Optimization	- Operator development and performance tuning 1. Performance profiling and optimization 2. Operator implementation basics - Model migration to Huawei AI platforms 1. Ascend compatibility and conversion 2. Framework migration and adaptation
Topic 4: AI Foundations and Huawei AI Ecosystem	- Artificial intelligence concepts and development workflow 1. AI development principles 2. AI application lifecycle - Huawei AI strategy and platforms 1. Huawei full-stack AI strategy 2. MindSpore, ModelArts, and Atlas ecosystem
Topic 5: Model Development and Training	- Pre-training and fine-tuning 1. Fine-tuning methods 2. Pre-training workflow - Model architecture and training basics 1. Training objectives and loss functions 2. Model construction concepts

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Oracle Linux Virtualization Manager Associate Sample Questions (Q158-Q163):

NEW QUESTION # 158
What is the primary use of monitoring dashboards and metrics in OLVM operations?

A. To change VM console protocols automatically
B. To verify resource health, performance trends, and capacity conditions
C. To authenticate external directory users
D. To permanently remove the need for logs

Answer: B

Explanation:
Monitoring metrics help administrators identify performance bottlenecks, resource pressure, and health issues before they become outages.

NEW QUESTION # 159
Why is it important to distinguish operational database data from historical database data?

A. Operational data is used only for email templates.
B. Historical data boots virtual machines faster than operational data.
C. There is no difference between the two.
D. Operational data supports current management state, while historical data supports reporting and trend analysis.

Answer: D

Explanation:
Understanding database roles helps administrators troubleshoot, back up, and report on OLVM properly.

NEW QUESTION # 160
Which command installs the OLVM engine package after repositories are configured?

A. engine-setup install
B. hosted-engine --deploy
C. yum remove ovirt-engine
D. dnf install ovirt-engine

Answer: D

Explanation:
The engine package is installed with dnf, then configured interactively using engine-setup.

NEW QUESTION # 161
Which guest component helps OLVM report VM IP addresses and perform clean shutdowns?

A. dnf repository metadata only
B. qemu-guest-agent or ovirt-guest-agent
C. hosted-engine --deploy
D. Fibre Channel multipath daemon only

Answer: B

Explanation:
Guest agents improve communication between the guest OS and the virtualization manager.

NEW QUESTION # 162
What is a self-hosted Engine deployment?

A. The Engine is removed and each host manages itself independently.
B. The OLVM Manager runs as a highly available virtual machine on the same KVM hosts it manages.
C. The database runs inside every guest virtual machine.
D. The OLVM Manager must run only on a physical server outside the cluster.

Answer: B

Explanation:
A self-hosted Engine reduces separate hardware needs and can provide high availability for the Manager VM.

NEW QUESTION # 163
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