Optional:    true,
		},
		HelpKV{
			Key:         Comment,
			Type:        "sentence",
			Description: DefaultComment,
			Optional:    true,
		},
	}

	RegionHelp = HelpKVS{
		HelpKV{
			Key:         RegionName,
			Type:        "string",
			Description: `[DEPRECATED] name of the location of the server e.g. "us-west-rack2"`,
			Optional:    true,
		},
		HelpKV{

     * @param active Should the profile be activated?
     * @param optional Can the build continue if the profile does not exist?
     */
    public void addProfileActivation(String id, boolean active, boolean optional) {
        final ActivationSettings settings = ActivationSettings.of(active, optional);
        this.activations.put(id, settings);
    }

```yaml
scrape_configs:
- job_name: minio-job-bucket
  metrics_path: /minio/v2/metrics/bucket
  scheme: http
  static_configs:
  - targets: ['localhost:9000']
```

##### Node (optional)

Optionally you can also collect per node metrics. This needs to be done on a per server instance.
The scrape configurations should use all the servers under `targets` so that graphing systems like

     * @param active Should the project be activated?
     * @param optional Can the build continue if the project does not exist?
     */
    public void addProjectActivation(String selector, boolean active, boolean optional) {
        final ActivationSettings settings = ActivationSettings.of(active, optional);
        this.activations.add(new ProjectActivationSettings(selector, settings));
    }

```

Los valores de los parámetros en tu función serán:

* `skip=20`: porque lo configuraste en la URL
* `limit=10`: porque ese era el valor por defecto

## Parámetros opcionales { #optional-parameters }

De la misma manera, puedes declarar parámetros de query opcionales, estableciendo su valor por defecto en `None`:

{* ../../docs_src/query_params/tutorial002_py310.py hl[7] *}

          .put(Charset.class, UTF_8)
          .put(Currency.class, Currency.getInstance(Locale.US))
          .put(Locale.class, Locale.US)
          .put(Optional.class, Optional.empty())
          .put(OptionalInt.class, OptionalInt.empty())
          .put(OptionalLong.class, OptionalLong.empty())
          .put(OptionalDouble.class, OptionalDouble.empty())
          .put(UUID.class, UUID.randomUUID())

  }

  @Empty
  <T> Optional<T> generateJavaOptional() {
    return Optional.empty();
  }

  @Generates
  <T> Optional<T> generateJavaOptional(T value) {
    return Optional.of(value);
  }

  @Generates
  OptionalInt generateOptionalInt() {
    return OptionalInt.of(generateInt());
  }

  @Generates
  OptionalLong generateOptionalLong() {

    assertEquals(0, ArbitraryInstances.get(Number.class));
    assertEquals(UTF_8, ArbitraryInstances.get(Charset.class));
    assertEquals(Optional.empty(), ArbitraryInstances.get(Optional.class));
    assertEquals(OptionalInt.empty(), ArbitraryInstances.get(OptionalInt.class));
    assertEquals(OptionalLong.empty(), ArbitraryInstances.get(OptionalLong.class));

Notice that the input model is still validated.

So, if you want to receive partial updates that can omit all the attributes, you need to have a model with all the attributes marked as optional (with default values or `None`).

To distinguish from the models with all optional values for **updates** and models with required values for **creation**, you can use the ideas described in [Extra Models](extra-models.md){.internal-link target=_blank}.

	m        *Monitor
	opts     *MonitorReaderOptions
}

// BucketOptions represents the bucket and optionally its replication target pair.
type BucketOptions struct {
	Name           string
	ReplicationARN string // This is optional, and not mandatory.
}

// MonitorReaderOptions provides configurable options for monitor reader implementation.
type MonitorReaderOptions struct {