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NEW QUESTION: 1
A global organization operates datacenters in many countries. There are private network links between these datacenters because all business data (but NOT metadata) must be exchanged over these private network connections.
The organization does not currently use AWS in any way.
The strategic decision has Just been made to rigorously minimize IT operations effort and investment going forward.
What combination of deployment options of the Anypoint Platform control plane and runtime plane(s) best serves this organization at the start of this strategic journey?
A. MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in each datacenter Hybrid is the best choice to start. Mule hosted Control plane and Customer hosted Runtime to start with. Once they mature in cloud migration, everything can be in Mule hosted.
B. MuleSoft-hosted Anypoint Platform control plane Customer-hosted runtime plane in multiple AWS regions
C. MuleSoft-hosted Anypoint Platform control plane CloudHub Shared Worker Cloud in multiple AWS regions
D. Anypoint Platform - Private Cloud Edition Customer-hosted runtime plane in each datacenter
Answer: A

NEW QUESTION: 2
You want to enable your running Google Container Engine cluster to scale as demand for your application changes.
What should you do?
A. Add a tag to the instances in the cluster with the following command:
gcloud compute instances add-tags
INSTANCE - -tags enable-
autoscaling max-nodes-10
B. Update the existing Container Engine cluster with the following command:
gcloud alpha container clusters
update mycluster - -enable-
autoscaling - -min-nodes=1 - -max-nodes=10
C. Create a new Container Engine cluster with the following command:
gcloud alpha container clusters
create mycluster - -enable-
autoscaling - -min-nodes=1 - -max-nodes=10
and redeploy your application
D. Add additional nodes to your Container Engine cluster using the following command:
gcloud container clusters resize
CLUSTER_Name - -size 10
Answer: A
Explanation:
Explanation/Reference:
Explanation:
Cluster autoscaling
--enable-autoscaling
Enables autoscaling for a node pool.
Enables autoscaling in the node pool specified by --node-pool or the default node pool if --node-pool is not provided.
Where:
--max-nodes=MAX_NODES
Maximum number of nodes in the node pool.
Maximum number of nodes to which the node pool specified by --node-pool (or default node pool if unspecified) can scale.
Incorrect Answers:
C, D: Warning: Do not use Alpha Clusters or alpha features for production workloads.
Note: You can experiment with Kubernetes alpha features by creating an alpha cluster. Alpha clusters are short-lived clusters that run stable Kubernetes releases with all Kubernetes APIs and features enabled.
Alpha clusters are designed for advanced users and early adopters to experiment with workloads that take advantage of new features before those features are production-ready. You can use Alpha clusters just like normal Kubernetes Engine clusters.
References: https://cloud.google.com/sdk/gcloud/reference/container/clusters/create

NEW QUESTION: 3
FTDユニットでどのコマンドを実行して、IPアドレス10.0.0.10にあり、登録キーCisco123を持つFMCマネージャーにユニットを関連付けますか？
A. ローカル10.0.0.10 Cisco123マネージャーの構成
B. ローカルのCisco123 10.0.0.10マネージャーを構成する
C. configure manager add 10.0.0.10 Cisco123
D. configure manager add Cisco123 10.0.0.10
Answer: C

NEW QUESTION: 4
The INVJHISTORY table is created using the command:
SQL>CREATE TABLE INV_HISTORY
(inv_no NUMBER(3),
inv_date DATE,
inv_amtNUMBER(10,2))
partition by range (inv_date)
interval (numtoyminterval(1 ,'month'))
(partition pO values less than (to_date(l01-01-2005llldd-mm-yyyy1)),
partition p1 values less than (to_date('01-01-2006','dd-mm-yyyy')));
The following data has been inserted into the INVJHISTORY table :
INV_NO INV_DATE INV_AMT
1 30-dec-2004 1000
2 30-dec-2005 2000
3 1-feb-2006 3000
4 1-mar-2006 4000
5 1-apr-2006 5000
You would like to store the data belonging to the year 2006 in a single partition and issue the command:
SQL> ALTER TABLE inv_history MERGE PARTITIONS
FOR(TO_DATE(l15-feb-2006l,ldd-mon-yyyy,)),FOR(TO_DATE(l15-apr-20061))
INTO PARTITION sys_py;
What would be the outcome of this command?
A. It produces an error because the date values specified in the merge do not match the date values stored in the table.
B. It executes successfully, and the transition point is set to "l-apr-20061.
C. It executes successfully, and the transition point is set to '15-apr-2006'.
D. It produces an error because the partitions specified for merging are not adjacent.
Answer: D
Explanation:
Explanation/Reference:
Explanation:

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