Google ACE Deploying and implementing a cloud solution • Complete Question Bank
Complete Google ACE Deploying and implementing a cloud solution question bank — all 0 questions with answers and detailed explanations.
Drag steps to the numbered slots on the right, or tap a step then tap a slot.
Drag steps to the numbered slots on the right, or tap a step then tap a slot.
Drag a concept onto its matching description — or click a concept then click the description.
Cost-optimized, general-purpose workloads
Balanced performance for general workloads
Compute-optimized for high-performance computing
Memory-optimized for large in-memory databases
GPU-accelerated for graphics and ML
Drag a concept onto its matching description — or click a concept then click the description.
Unit of compute capacity for queries
Divides tables into segments for faster queries
Sorts data within partitions for better performance
Precomputed query results for faster access
In-memory analysis service for sub-second query response
apiVersion: apps/v1
kind: Deployment
metadata:
name: web-app
spec:
replicas: 3
selector:
matchLabels:
app: web
template:
metadata:
labels:
app: web
spec:
containers:
- name: web
image: us.gcr.io/my-project/web-app:1.0
resources:
requests:
memory: "6Gi"
cpu: "1"
limits:
memory: "12Gi"
cpu: "2"