[zh] resync tasks files (task-2)

Author: tengqm

content/zh-cn/docs/tasks/access-application-cluster/configure-access-multiple-clusters.md

@@ -39,7 +39,8 @@ It does not mean that there is a file named `kubeconfig`.
 
 <!--
 {{< warning >}}
-Only use kubeconfig files from trusted sources. Using a specially-crafted kubeconfig file could result in malicious code execution or file exposure. 
+Only use kubeconfig files from trusted sources. Using a specially-crafted kubeconfig
+file could result in malicious code execution or file exposure. 
 If you must use an untrusted kubeconfig file, inspect it carefully first, much as you would a shell script.
 {{< /warning>}}
 -->
@@ -396,7 +397,7 @@ For example:
 ### Linux
 
 ```shell
-export KUBECONFIG_SAVED=$KUBECONFIG
+export KUBECONFIG_SAVED="$KUBECONFIG"
 ```
 
 ### Windows PowerShell
@@ -422,7 +423,7 @@ Temporarily append two paths to your `KUBECONFIG` environment variable. For exam
 ### Linux
 
 ```shell
-export KUBECONFIG=$KUBECONFIG:config-demo:config-demo-2
+export KUBECONFIG="${KUBECONFIG}:config-demo:config-demo-2"
 ```
 
 ### Windows PowerShell
@@ -516,7 +517,7 @@ For example:
 ### Linux
 
 ```shell
-export KUBECONFIG=$KUBECONFIG:$HOME/.kube/config
+export KUBECONFIG="${KUBECONFIG}:$HOME/.kube/config"
 ```
 
 ### Windows Powershell
@@ -547,7 +548,7 @@ Return your `KUBECONFIG` environment variable to its original value. For example
 ### Linux
 
 ```shell
-export KUBECONFIG=$KUBECONFIG_SAVED
+export KUBECONFIG="$KUBECONFIG_SAVED"
 ```
 
 ### Windows PowerShell

content/zh-cn/docs/tasks/configure-pod-container/configure-pod-configmap.md

@@ -20,7 +20,6 @@ card:
 Many applications rely on configuration which is used during either application initialization or runtime.
 Most of the times there is a requirement to adjust values assigned to configuration parameters.
 ConfigMaps is the kubernetes way to inject application pods with configuration data.
-
 ConfigMaps allow you to decouple configuration artifacts from image content to keep containerized applications portable. This page provides a series of usage examples demonstrating how to create ConfigMaps and configure Pods using data stored in ConfigMaps.
 -->
 很多应用在其初始化或运行期间要依赖一些配置信息。大多数时候，
@@ -773,7 +772,7 @@ configmap/special-config-2-c92b5mmcf2 created
 ### 使用单个 ConfigMap 中的数据定义容器环境变量    {#define-a-container-environment-variable-with-data-from-a-single-configmap}
 
 <!--
-1.  Define an environment variable as a key-value pair in a ConfigMap:
+1. Define an environment variable as a key-value pair in a ConfigMap:
 -->
 1. 在 ConfigMap 中将环境变量定义为键值对:
 
@@ -782,7 +781,7 @@ configmap/special-config-2-c92b5mmcf2 created
    ```
 
 <!--
-2.  Assign the `special.how` value defined in the ConfigMap to the `SPECIAL_LEVEL_KEY` environment variable in the Pod specification.
+2. Assign the `special.how` value defined in the ConfigMap to the `SPECIAL_LEVEL_KEY` environment variable in the Pod specification.
 -->
 2. 将 ConfigMap 中定义的 `special.how` 赋值给 Pod 规约中的 `SPECIAL_LEVEL_KEY` 环境变量。
 

content/zh-cn/docs/tasks/inject-data-application/define-interdependent-environment-variables.md

@@ -29,7 +29,7 @@ in a Kubernetes Pod.
 When you create a Pod, you can set dependent environment variables for the containers that run in the Pod. To set dependent environment variables, you can use $(VAR_NAME) in the `value` of `env` in the configuration file.
 
 In this exercise, you create a Pod that runs one container. The configuration
-file for the Pod defines an dependent environment variable with common usage defined. Here is the configuration manifest for the
+file for the Pod defines a dependent environment variable with common usage defined. Here is the configuration manifest for the
 Pod:
 -->
 ## 为容器定义相互依赖的环境变量   {#define-an-environment-dependent-variable-for-a-container}

content/zh-cn/docs/tasks/run-application/horizontal-pod-autoscale.md

@@ -717,7 +717,7 @@ scaling in that direction.
 ### Stabilization Window
 
 The stabilization window is used to restrict the [flapping](#flapping) of
-replicas count when the metrics used for scaling keep fluctuating. The autoscaling algorithm
+replica count when the metrics used for scaling keep fluctuating. The autoscaling algorithm
 uses this window to infer a previous desired state and avoid unwanted changes to workload
 scale.