What is Healing English?

Healing English is a live online English conversation academy for Korean adults, founded by Dave Kim with 18 years of teaching experience. Classes are streamed live with real-time student interaction.

How do the classes work?

All classes are live-streamed via YouTube. Students join at scheduled times, participate in real-time exercises, and receive lesson notes and recordings afterward.

How much does it cost?

Annual plans start at 259,000 KRW (about $190 USD) per year. The Master's Package covering all classes is 299,000 KRW/year. A 3-year VVIP plan is available for 599,000 KRW.

Who are the instructors?

Five expert instructors: Dave (18yr veteran, 500K followers), Zeus (NYU, marketing), Kate (UCLA, culture), Jihan (Seoul Nat'l Univ, US attorney), and Jinny (UC Berkeley, news).

Is this good for beginners?

Yes! The Beginner class (기초반) is specifically designed for adult beginners. Dave's teaching style makes English accessible and fun for all levels.

What is the class schedule?

Mon-Thu 8-9PM KST, Sat 11AM-12PM KST, Sun 7-8PM KST. Six live classes per week covering beginner, expression, marketing, culture, business, and news English.

Can I watch recordings if I miss a class?

Yes, all live classes are recorded and available for replay. Lesson notes and review materials are also provided after each class.

How is this different from a traditional hagwon?

Healing English offers live interactive online classes at a fraction of hagwon prices. Learn from anywhere with top instructors, community support, and a dedicated app.

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Linux Foundation Kubernetes and Cloud Native Associate Sample Questions (Q190-Q195):

NEW QUESTION # 190
Which of the following best describes horizontally scaling an application deployment?

A. The act of adding/removing node instances to the cluster to meet demand.
B. The act of adding/removing application instances of the same application to meet demand.
C. The act of adding/removing applications to meet demand.
D. The act of adding/removing resources to application instances to meet demand.

Answer: B

Explanation:
Horizontal scaling means changing how many instances of an application are running, not changing how big each instance is. Therefore, the best description is C: adding/removing application instances of the same application to meet demand. In Kubernetes, "instances" typically correspond to Pod replicas managed by a controller like a Deployment. When you scale horizontally, you increase or decrease the replica count, which increases or decreases total throughput and resilience by distributing load across more Pods.
Option A is about cluster/node scaling (adding or removing nodes), which is infrastructure scaling typically handled by a cluster autoscaler in cloud environments. Node scaling can enable more Pods to be scheduled, but it's not the definition of horizontal application scaling itself. Option D describes vertical scaling-adding/removing CPU or memory resources to a given instance (Pod/container) by changing requests/limits or using VPA. Option B is vague and not the standard definition.
Horizontal scaling is a core cloud-native pattern because it improves availability and elasticity. If one Pod fails, other replicas continue serving traffic. In Kubernetes, scaling can be manual (kubectl scale deployment ... --replicas=N) or automatic using the Horizontal Pod Autoscaler (HPA). HPA adjusts replicas based on observed metrics like CPU utilization, memory, or custom/external metrics (for example, request rate or queue length). This creates responsive systems that can handle variable traffic.
From an architecture perspective, designing for horizontal scaling often means ensuring your application is stateless (or manages state externally), uses idempotent request handling, and supports multiple concurrent instances. Stateful workloads can also scale horizontally, but usually with additional constraints (StatefulSets, sharding, quorum membership, stable identity).
So the verified definition and correct choice is C.

NEW QUESTION # 191
Imagine you're releasing open-source software for the first time. Which of the following is a valid semantic version?

A. 2021-10-11
B. v1beta1
C. 1.0
D. 0.1.0-rc

Answer: D

Explanation:
Semantic Versioning (SemVer) follows the pattern MAJOR.MINOR.PATCH with optional pre-release identifiers (e.g., -rc, -alpha.1) and build metadata. Among the options, 0.1.0-rc matches SemVer rules, so C is correct.
0.1.0-rc breaks down as: MAJOR=0, MINOR=1, PATCH=0, and -rc indicates a pre-release ("release candidate"). Pre-release versions are valid SemVer and are explicitly allowed to denote versions that are not yet considered stable. For a first-time open-source release, 0.x.y is common because it signals the API may still change in backward-incompatible ways before reaching 1.0.0.
Why the other options are not correct SemVer as written:
* 1.0 is missing the PATCH segment; SemVer requires three numeric components (e.g., 1.0.0).
* 2021-10-11 is a date string, not MAJOR.MINOR.PATCH.
* v1beta1 resembles Kubernetes API versioning conventions, not SemVer.
In cloud-native delivery and Kubernetes ecosystems, SemVer matters because it communicates compatibility.
Incrementing MAJOR indicates breaking changes, MINOR indicates backward-compatible feature additions, and PATCH indicates backward-compatible bug fixes. Pre-release tags allow releasing candidates for testing without claiming full stability. This is especially useful for open-source consumers and automation systems that need consistent version comparison and upgrade planning.
So, the only valid semantic version in the choices is 0.1.0-rc, option C.
=========

NEW QUESTION # 192
If a Pod was waiting for container images to download on the scheduled node, what state would it be in?

A. Pending
B. Succeeded
C. Unknown
D. Failed

Answer: A

Explanation:
If a Pod is waiting for its container images to be pulled to the node, it remains in the Pending phase, so D is correct. Kubernetes Pod "phase" is a high-level summary of where the Pod is in its lifecycle. Pending means the Pod has been accepted by the cluster but one or more of its containers has not started yet. That can occur because the Pod is waiting to be scheduled, waiting on volume attachment/mount, or-very commonly- waiting for the container runtime to pull the image.
When image pulling is the blocker, kubectl describe pod <name> usually shows events like "Pulling image
..." and "Successfully pulled image ..." or failures like ImagePullBackOff/ErrImagePull. Even if the node has been assigned (scheduler has set spec.nodeName), the Pod can still be Pending while kubelet and the runtime perform preparation steps.
Why the other phases don't apply:
* Succeeded is for run-to-completion Pods that have finished successfully (typical for Jobs).
* Failed means the Pod terminated and at least one container terminated in failure (and won't be restarted, depending on restartPolicy).
* Unknown is used when the node can't be contacted and the Pod's state can't be reliably determined (rare in healthy clusters).
A subtle but important Kubernetes detail: status "Waiting" reasons like ImagePullBackOff are container states inside .status.containerStatuses, while the Pod phase can still be Pending. So, "waiting for images to download" maps to Pod Pending, with container waiting reasons providing the deeper diagnosis.
Therefore, the verified correct answer is D: Pending.
=========

NEW QUESTION # 193
In Kubernetes, if the API version of feature is v2beta3, it means that:

A. The software is well tested. Enabling a feature is considered safe.
B. The software may contain bugs. Enabling a feature may expose bugs.
C. The version will remain available for all future releases within a Kubernetes major version.
D. The API may change in incompatible ways in a later software release without notice.

Answer: D

Explanation:
The correct answer is B. In Kubernetes API versioning, the stability level is encoded in the version string: alpha, beta, and stable (v1). A version like v2beta3 indicates the API is in a beta stage. Beta APIs are more mature than alpha, but they are not fully guaranteed stable in perpetuity the way v1 stable APIs are intended to be. The key implication is that while beta APIs are generally usable, they can still undergo incompatible changes in future releases as the API design evolves.
Option B captures that meaning: a beta API may change in ways that break compatibility. This is why teams should treat beta APIs with some caution in production: verify upgrade plans, monitor deprecation notices, and be prepared to adjust manifests or client code when moving between Kubernetes versions.
Why the other options are incorrect:
A implies permanence across all future releases in a major version, which is not a beta guarantee. Kubernetes has deprecation and graduation processes, but beta does not equal "forever." C overstates safety; beta is typically "tested and enabled by default" for some features, but it's not the same as stable API guarantees.
D is too vague and misaligned. While any software may contain bugs, the defining point of "beta API" is about stability/compatibility guarantees, not merely "bugs." In practice, Kubernetes communicates API lifecycle clearly: alpha is experimental and may be disabled by default; beta is feature-complete-ish but may change; stable v1 is strongly compatibility-focused with formal deprecation policies. So, a v2beta3 API signals: usable, but not fully locked-hence B.

NEW QUESTION # 194
What kind of limitation cgroups allows?

A. Server cpu and memory
B. Accounting
C. None of the options
D. Prioritization
E. Resource limiting
F. Control

Answer: B,D,E,F

NEW QUESTION # 195
......

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