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NEW QUESTION: 1
Your customer is receiving reports that their recently updated Google App Engine application is taking approximately 30 seconds to load for some of their users. This behavior was not reported before the update.
What strategy should you take?
A. Work with your ISP to diagnose the problem
B. Roll back to an earlier known good release initially, then use Stackdriver Trace and Logging to diagnose the problem in a development/test/staging environment
C. Roll back to an earlier known good release, then push the release again at a quieter period to investigate. Then use Stackdriver Trace and Logging to diagnose the problem
D. Open a support ticket to ask for network capture and flow data to diagnose the problem, then roll back your application
Answer: B
Explanation:
Explanation/Reference:
Explanation:
Stackdriver Logging allows you to store, search, analyze, monitor, and alert on log data and events from Google Cloud Platform and Amazon Web Services (AWS). Our API also allows ingestion of any custom log data from any source. Stackdriver Logging is a fully managed service that performs at scale and can ingest application and system log data from thousands of VMs. Even better, you can analyze all that log data in real time.
References: https://cloud.google.com/logging/

NEW QUESTION: 2
企業は、ニューヨークのデータセンターに新しいESXiホストクラスタを実装しています。
* CIOは、新しいESXiクラスターは、2つのESXiホストの障害に耐えるのに十分なフェイルオーバーキャパシティで設計する必要があると述べています。
* 6つのESXiホストがこのワークロードで承認されています。
* ESXiホストは、次の仕様でDellから購入する必要があります。
* 2x10コア2.2GHz Intel CPU
* 128 GBのメモリ
*ワークロードは、3 GBのRAMが予約された150人の従業員デスクトップ仮想マシンとして定義されています。
*すべての仮想マシンをvSphere High Availabilityで保護する必要がありますフェイルオーバーキャパシティに関する2つの正しい説明はどれですか。 （2つ選択してください。）
A. vSphete HAは、2つの専用フェイルオーバーホストを指定するように構成できます。
B. vSphere HAは、フェイルオーバー用にメモリ容量の35％を予約するように構成できます。
C. vSphere HAは、1つの専用フェイルオーバーホストを指定するように構成できます。
D. vSphete HAは、フェイルオーバー用にメモリ容量の25％を予約するように構成できます。
Answer: A,B
Explanation:
You have the option in vSphere HA to reserved any number of hosts /or % of memory resources (1/3 = ~35%). These both enforce the CIO requirements.
A) Memory reserved is not enough to sustain 2 hosts failureB) Yes, requirements are to sustain 2 hosts failure. Dedicating 2 hosts would leave a total usable memory of 512 GB, which is enough to cover 450GB of VMs memory.C) Yes, if you want to sustain 2 hosts failure you need to reserve the same amount of memory contribution of those hosts. In this case, 2 hosts out of 6 it's 1/3 = 33.3%. So rounding up to 35% is correct.D) No, solution needs to sustain 2 hosts failure

NEW QUESTION: 3

A. Option C
B. Option D
C. Option B
D. Option A
Answer: B
Explanation:
Add ShadowStorage
Adds a shadow copy storage association for a specified volume.
Incorrect:
Not A. Sets or changes the file system label of an existing volume. -DriveLetter Specifies a letter used to identify a drive or volume in the system.
Not B. Create Shadow
Creates a new shadow copy of a specified volume.
Not C. Sets or changes the file system label of an existing volume -Path Contains valid path information.
Reference: Vssadmin; Set-Volume
http://technet.microsoft.com/en-us/library/cc754968(v=ws.10).aspx
http://technet.microsoft.com/en-us/library/hh848673(v=wps.620).aspx

NEW QUESTION: 4
DRAG DROP
Note: This question is part of a series of questions that use the same scenario. For your convenience, the scenario is repeated in each question. Each question presents a different goal and answer choices, but the text of the scenario is exactly the same in each question in this series.
You have a Microsoft SQL Server data warehouse instance that supports several client applications.
The data warehouse includes the following tables: Dimension.SalesTerritory, Dimension.Customer, Dimension.Date, Fact.Ticket, and Fact.Order. The Dimension.SalesTerritory and Dimension.Customer tables are frequently updated. The Fact.Order table is optimized for weekly reporting, but the company wants to change it daily. The Fact.Order table is loaded by using an ETL process. Indexes have been added to the table over time, but the presence of these indexes slows data loading.
All data in the data warehouse is stored on a shared SAN. All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment. The data warehouse has grown and the cost of storage has increased. Data older than one year is accessed infrequently and is considered historical.
You have the following requirements:
* Implement table partitioning to improve the manageability of the data warehouse and to avoid the need to repopulate all transactional data each night. Use a partitioning strategy that is as granular as possible.
* Partition the Fact.Order table and retain a total of seven years of data.
* Partition the Fact.Ticket table and retain seven years of data. At the end of each month, the partition structure must apply a sliding window strategy to ensure that a new partition is available for the upcoming month, and that the oldest month of data is archived and removed.
* Optimize data loading for the Dimension.SalesTerritory, Dimension.Customer, and Dimension.Date tables.
* Incrementally load all tables in the database and ensure that all incremental changes are processed.
* Maximize the performance during the data loading process for the Fact.Order partition.
* Ensure that historical data remains online and available for querying.
* Reduce ongoing storage costs while maintaining query performance for current data.
You are not permitted to make changes to the client applications.
You need to optimize data loading for the Dimension.Customer table.
Which three Transact-SQL segments should you use to develop the solution? To answer, move the appropriate Transact-SQL segments from the list of Transact-SQL segments to the answer area and arrange them in the correct order.
NOTE: You will not need all of the Transact-SQL segments.

Answer:
Explanation:

Explanation:

Step 1: USE DB1
From Scenario: All tables are in a database named DB1. You have a second database named DB2 that contains copies of production data for a development environment.
Step 2: EXEC sys.sp_cdc_enable_db
Before you can enable a table for change data capture, the database must be enabled. To enable the database, use the sys.sp_cdc_enable_db stored procedure.
sys.sp_cdc_enable_db has no parameters.
Step 3: EXEC sys.sp_cdc_enable_table
@source schema = N 'schema' etc.
Sys.sp_cdc_enable_table enables change data capture for the specified source table in the current database.
Partial syntax:
sys.sp_cdc_enable_table
[ @source_schema = ] 'source_schema',
[ @source_name = ] 'source_name' , [,[ @capture_instance = ] 'capture_instance' ]
[,[ @supports_net_changes = ] supports_net_changes ]
Etc.
References: https://docs.microsoft.com/en-us/sql/relational-databases/system-stored- procedures/sys-sp-cdc-enable-table-transact-sql
https://docs.microsoft.com/en-us/sql/relational-databases/system-stored-procedures/sys- sp-cdc-enable-db-transact-sql